UI Jobs

SAP BTP Integration & Build Apps Specialist

SACHA Engineering•

Hyderabad

•full time

Job Summary We are seeking a skilled and experienced SAP BTP Integration & Build Apps Specialist to join our team in a hybrid work mode. This role will be pivotal in designing, building, and maintaining integrations and applications on the SAP Business Technology Platform (BTP) , ensuring alignment with business requirements and adherence to security and compliance standards. Key Responsibilities The SAP BTP Integration & Build Apps Specialist will be responsible for a range of tasks including, but not limited to, the design, development, and implementation of SAP BTP -based solutions. This includes building and maintaining CI/CD pipelines , ensuring application stability , and creating comprehensive technical documentation and operational runbooks . The role also involves collaborating with cross-functional teams to ensure seamless integration with existing S/4HANA systems and adherence to audit and compliance requirements. Required Skills & Qualifications SAP BTP : Demonstrated proficiency in utilizing SAP Business Technology Platform for application development and integration. Cloud Foundry : Strong understanding and practical experience with the Cloud Foundry platform. Destination & Connectivity Services : Expertise in configuring and managing Destination & Connectivity Services for secure and reliable data exchange. XSUAA : Proficiency in utilizing XSUAA for authentication and authorization within SAP BTP environments. Cloud Identity Services (IAS/IPS) : Experience with Cloud Identity Services (IAS/IPS) for managing user identities and access. Cloud Connector : Ability to configure and manage the Cloud Connector for hybrid scenarios. CI/CD pipelines : Experience in designing and implementing CI/CD pipelines for automated build, testing, and deployment. Git : Proficient in using Git for version control and collaborative development. SAP Build Apps : Experience in developing applications using SAP Build Apps , including Logic flows & data modeling and UI/UX configuration . Role-based access configuration : Ability to configure role-based access controls to ensure data security and compliance. Mobile/web deployment : Experience in deploying applications to mobile and web environments. OData services : Understanding of OData services for data integration and exchange. REST APIs : Experience working with REST APIs for application integration. CDS exposure (consumption) : Ability to consume CDS (Core Data Services) for data access. ABAP : Familiarity with ABAP programming for custom development and integration. SAP Integration Suite : Experience with SAP Integration Suite for integration scenarios. OAuth2, SAML : Knowledge of OAuth2 and SAML for secure authentication and authorization. Certificates : Ability to manage and configure Certificates for secure communication. Event Mesh : Understanding of Event Mesh for event-driven integration. Build Apps development standards : Adherence to Build Apps development standards for code quality and maintainability. Application stability : Focus on ensuring application stability and performance. Technical documentation : Ability to create clear and concise technical documentation . Operational runbooks : Experience in developing operational runbooks for incident response and troubleshooting. Audit, Compliance, Security standards : Understanding of audit , compliance , and security standards . Clean-core extensibility concepts : Knowledge of Clean-core extensibility concepts . CAP (Cloud Application Programming Model) : Experience with CAP (Cloud Application Programming Model) . S/4HANA business processes : Understanding of S/4HANA business processes , including FI , MM , and SD . SLA : Ability to meet SLA requirements. Experience Required: The ideal candidate will possess 8-15 years of relevant experience in SAP development and integration, demonstrating a strong track record of delivering high-quality solutions. What We Offer Salary: 30 LPA

Software Engineer (4) - Premium Senior Engineer

RLE India Private Limited•

Chennai

•Full-time

Job Summary We are seeking a Premium Senior Engineer to join our growing team in Chennai. This onsite position is ideal for a highly skilled and experienced software engineer with a strong background in SAP development. As a key member of our IT / Technology team, you will contribute to the design, development, and implementation of innovative solutions. Key Responsibilities The responsibilities of this role will include contributing to the full software development lifecycle, from requirements gathering and design to implementation, testing, and deployment. You will be expected to collaborate effectively with cross-functional teams to deliver high-quality solutions that meet business needs. Required Skills & Qualifications Education: A Bachelor's Degree is required. Experience: 10 - 10 years of experience in software development, with a focus on SAP technologies. This level of experience indicates a high degree of proficiency and the ability to lead and mentor junior team members. Technical Skills: ABAP: Extensive experience in ABAP programming, including ABAP new syntax and ABAP Objects . SAP BTP: Proficiency in developing and deploying applications on SAP BTP . CAP: Experience with CAP (Cloud Application Programming Model) for building cloud-enabled SAP applications. Fiori & SAPUI5: Strong skills in developing user interfaces using Fiori , SAPUI5 , and Fiori Elements . OData: Solid understanding of OData services and their integration with SAP applications. API: Experience designing and implementing APIs for seamless integration with other systems. Data Management: Knowledge of HANA SQL Programming and AMDP for efficient data access and manipulation. Integration Technologies: Familiarity with BAPI , BADI , IDOC , and User Exits for integrating with existing SAP systems. Web Services & RFCs: Experience with Web Services and RFCs for inter-system communication. Version Control: Proficiency in using GitHub for version control and collaboration. Security: Understanding of Encryption and Anonymization techniques for data security. Agile & DevOps: Experience working in an Agile environment and utilizing Test-driven development , Continuous integration , and Continuous delivery practices. AIPGEE: Knowledge of AIPGEE . CDs: Understanding of CDs . What We Offer Salary:

Software Engineer (3) - Core Engineer 3

RLE India Private Limited•

Chennai

•Full-time

Job Summary We are seeking a highly skilled and motivated Software Engineer (3) - Core Engineer 3 to join our growing team in Chennai. This role will be based onsite and offers a challenging opportunity to contribute to cutting-edge technology projects within the Technology industry. Key Responsibilities The Core Engineer 3 will be responsible for the design, development, and maintenance of robust and scalable software solutions. This role requires a deep understanding of software engineering principles and a commitment to delivering high-quality code. Required Skills & Qualifications Educational Background: A B.E., B.Tech., M.C.A., or equivalent technical degree is required. Experience: A minimum of 5-6 years of experience in software engineering is expected. This level of experience indicates a proven ability to independently design, develop, and debug complex software systems, as well as mentor junior engineers. Programming Languages: Proficiency in Java , Node.js , and TypeScript is essential. Frameworks & Libraries: Strong experience with Spring Boot , React , and a solid understanding of REST APIs and GraphQL . Databases: Demonstrated ability to work with PostgreSQL . Cloud Technologies: Experience with GCP is required. Version Control: Familiarity with GitHub for version control and collaborative development. Microservices Architecture: A strong understanding of Microservices architecture and its implementation. API Integration: Experience with SOAP . Testing & Quality Assurance: Proficient in TDD (Test-Driven Development) and experienced with testing frameworks such as JUnit and Selenium . Security Practices: Knowledge of DevSecOps principles and experience with security tools like SonarQube and Checkmarx . AI & Machine Learning: Familiarity with AI concepts and experience with tools like Claude . Prompt Engineering & RAG: Understanding of Prompt Engineering and Retrieval-Augmented Generation (RAG) techniques. Web Technologies: Solid understanding of HTML5 , CSS3 , and JavaScript . UI/UX: Experience with Responsive UI Design . CI/CD: Experience with CI/CD pipelines and automation. Additional Tools: Familiarity with 42Crunch . Other: Understanding of Dynatrace . What We Offer Salary:

Dyno Test Engineer

RLE India Private Limited•

Pune

•full time

Job Summary We are seeking a Dyno Test Engineer to join our team in Magarpatta, Pune. This role will be responsible for operating and maintaining dyno and test systems, conducting performance and durability testing, and ensuring the quality and reliability of our products. This is an excellent opportunity for a motivated individual to contribute to a dynamic and growing organization within the Aerospace industry. Key Responsibilities The Dyno Test Engineer will be responsible for a range of tasks related to dyno testing and system maintenance. This includes, but is not limited to, the operation and setup of dynamometers, execution of load profiles, and the performance of various tests to evaluate motor and inverter performance and durability. The role also involves troubleshooting test stand issues, performing root cause analysis, and ensuring adherence to quality management systems and safety protocols. Required Skills & Qualifications Education: A Diploma in Electrical, Electronics, Mechatronics, Mechanical, or a related engineering discipline is required. Dyno & Test Systems: Demonstrated proficiency in the operation and setup of dyno and test systems, including dynamometer operation. Motor and Inverter Testing: Experience with motor and inverter testing methodologies, including performance and durability testing. Load Profile Execution: Ability to execute load profiles accurately and efficiently. Test Automation Systems: Familiarity with test automation systems and their application in testing environments. Data Acquisition Systems (DAQ): Strong understanding of data acquisition systems and their role in data collection and analysis. Electrical Knowledge: A solid foundation in electrical principles, including knowledge of AC/DC motors, BLDC, PMSM, and Induction Motors. Motor Controllers & Inverters: Understanding of motor controllers and inverters, and their role in motor operation. Power Electronics Fundamentals: A working knowledge of power electronics fundamentals. Safety Practices: Strict adherence to high-voltage safety practices and electrical safety protocols. Electrical Measurements & Instrumentation: Proficiency in performing electrical measurements and utilizing various instrumentation techniques. This includes experience with Torque transducers, Speed encoders, Thermocouples, RTDs, Current probes, and Voltage measurement systems. Troubleshooting Skills: Excellent troubleshooting skills, including electrical fault finding and sensor diagnosis. Test Stand Debugging: Ability to effectively debug test stand issues and perform wiring verification. Hardware Integration: Experience in identifying and resolving hardware integration issues. Root Cause Analysis: Ability to perform root cause analysis using methodologies such as 8D, Fishbone, and 5Why. Other Skills: Including Harness preparation, Crimping, Wiring, Connector assembly, Soldering, Desoldering activities, PCBA rework, Repair, SMT, Through-hole components, Component replacement, Soldering/de-soldering techniques, Wire harness preparation, Cable assembly, Test setup preparation, Laboratory equipment configuration. Analytical Skills: Strong analytical skills for data interpretation and problem-solving. Technical Documentation & Report Writing: Ability to create clear and concise technical documentation and reports. ESD Controls & Lab Compliance: Knowledge of ESD controls and lab compliance practices. Data Acquisition Systems: Experience with data acquisition systems, including LabVIEW and NI DAQ systems . CAN Communication: Familiarity with CANanalyzer and CANoe for CAN communication analysis. Data Analysis: Proficiency in Excel data analysis and data logging techniques. Software: Basic software skills for instrumentation interfaces and hands-on experience. Quality Management System: Understanding of quality management system principles. Experience: This position requires no prior experience. We welcome candidates who are eager to learn and develop their skills in a dynamic environment. What We Offer Salary:

Robotic Simulation

SACHA Engineering•

Remote

•Full-time

Job Summary We are seeking a skilled Robotic Simulation professional to join our Manufacturing team. This role will focus on the simulation and optimization of robotic processes within our manufacturing environment. The ideal candidate will possess a strong understanding of robotic principles, simulation techniques, and manufacturing processes. Key Responsibilities This role will be responsible for a range of tasks related to robotic simulation, including the creation of simulation reports, program generation and optimization, and ensuring robot safety. The role will also require independent work and coordination with cross-functional teams to finalize layouts and validate tooling. Required Skills & Qualifications BIW Simulation : Demonstrated proficiency in simulating Body-in-White (BIW) processes using simulation software. BIW Manufacturing Processes : A thorough understanding of BIW manufacturing processes and their impact on robotic operations. Cell Building : Experience in the design and simulation of robotic workcells. Tool Validation : Ability to validate tooling designs through simulation to ensure optimal robotic performance. Robot Reachability : Expertise in analyzing robot reachability to ensure efficient and effective robotic operations. Robot Accessibility Analysis : Ability to perform accessibility analysis to identify and mitigate potential limitations in robotic workspace. Collision-Free Robotic Operations : Ability to design and simulate collision-free robotic operations. Cycle-Time Creation : Experience in creating accurate and efficient cycle times for robotic processes. Cycle-Time Optimization : Ability to optimize cycle times through simulation and process adjustments. Layout Finalization : Experience in finalizing layouts to ensure optimal robotic performance and safety. Robot Safety Concepts : A strong understanding of robot safety concepts and their application in manufacturing environments. Robot Safety Devices : Familiarity with various robot safety devices and their implementation. OLP : Experience with OLP (Offline Programming) software. Program Generation : Ability to generate robotic programs based on simulation results. Program Optimization : Ability to optimize robotic programs for efficiency and performance. Simulation Reports : Ability to create comprehensive and informative simulation reports. Documentation : Strong documentation skills to clearly communicate simulation results and findings. Independent Work : Ability to work independently and manage time effectively. Coordination with Cross-Functional Teams : Excellent communication and collaboration skills to work effectively with cross-functional teams. Analytical Skills : Strong analytical skills to interpret simulation data and identify areas for improvement. Problem-Solving Skills : Proven problem-solving skills to address challenges and implement solutions. Communication Skills : Excellent written and verbal communication skills to effectively communicate with stakeholders. Experience Required: The ideal candidate will have 2 - 6 years of experience in a related field. This level of experience indicates a level of proficiency and the ability to work with minimal supervision. What We Offer Salary:

electrical & electronic design Engineer

RLE India Private Limited•

Pune

•full time

Electrical & Electronic Design Engineer Job Summary We are seeking a skilled and motivated Electrical & Electronic Design Engineer to join our team within the Aerospace industry. This is an onsite position requiring a strong foundation in electrical and electronic design principles, with a focus on power electronics and embedded systems. The ideal candidate will possess a comprehensive understanding of the hardware development lifecycle and be adept at navigating complex design challenges. Key Responsibilities This role encompasses a wide range of responsibilities throughout the entire hardware development lifecycle, from initial requirements definition to final product validation and certification. You will be responsible for the design, development, verification, and validation of electrical and electronic systems, ensuring adherence to industry standards and rigorous quality control. Required Skills & Qualifications Electrical Design: Demonstrated proficiency in electrical circuit design, including schematic capture and layout. Electronic Design: Expertise in electronic circuit design, encompassing both analog and digital domains. Inverter Design: Experience designing and implementing inverter systems for various applications. Converter Design: Ability to design and optimize converter topologies, including AC-DC and DC-DC converters. Hardware Development Life Cycle: A thorough understanding of the complete hardware development lifecycle, from concept to production. Requirements Management: Skill in defining, documenting, and managing system requirements. Design: Ability to translate requirements into functional and manufacturable designs. Development: Experience in the development of electrical and electronic systems. Verification & Validation (V&V): Expertise in verification and validation methodologies to ensure product quality and reliability. Qualification & Certification Testing: Familiarity with qualification and certification testing procedures. AC-DC & DC-DC Converters: Deep understanding of AC-DC and DC-DC converter principles and applications. Motor Inverters: Experience in the design and implementation of motor inverter systems. Switching Devices & Gate Driver Selection: Knowledge of switching devices and the ability to select appropriate gate drivers. Modulation Techniques: Understanding of various modulation techniques and their application in power electronics. Filter Design: Ability to design and implement filters for signal conditioning and noise reduction. Power Semiconductors: Expertise in Si Power Semiconductors, Silicon Carbide (SiC) Power Semiconductors, and Gallium Nitride (GaN) Power Semiconductors. Power Electronics: Strong foundation in power electronics principles and applications. Analog Circuits: Proficiency in designing and analyzing analog circuits, including Op-Amp, Buffers, and Signal Conditioning circuits. Digital Logic Circuits: Understanding of digital logic circuits and their implementation. Microcontroller-Based Systems: Experience in designing and implementing microcontroller-based systems. Peripheral Interfaces: Knowledge of common peripheral interfaces such as UART, SPI, I2C, and CAN. Communication Interfaces: Experience with communication protocols like Ethernet. Microcontroller, FPGA, Processor: Familiarity with microcontroller, FPGA, and processor architectures. Memory: Understanding of different memory types, including RAM and Flash Memory. Low-Power Operation: Ability to design for low-power operation and optimize energy efficiency. Power Budgeting: Skill in creating and managing power budgets. Energy Efficiency: Commitment to designing energy-efficient systems. FMEA: Experience conducting Failure Mode and Effects Analysis (FMEA). Stress Analysis, Derating, Worst-Case Analysis, Tolerance Study: Ability to perform stress analysis, derating, worst-case analysis, and tolerance studies. DO-160, DO178, DO254, IEC, SAE: Familiarity with relevant industry standards such as DO-160, DO178, DO254, IEC, and SAE. Certification Processes: Understanding of certification processes and requirements. Embedded Design: Experience in embedded system design. PCB Design: Knowledge of printed circuit board (PCB) design principles. EMI/EMC: Understanding of electromagnetic interference (EMI) and electromagnetic compatibility (EMC) considerations. Product Lifecycle Management: Familiarity with product lifecycle management (PLM) principles. Simulation Tools: Proficiency in using simulation tools such as Pspice, Matlab, Simulink, and PLECS. Domain Expertise: Experience in the Automotive Domain, Aero Domain, or Defense Domain. High Power Design: Ability to design for high-power applications. Layout Rules: Knowledge of layout rules for power electronics. EMI/EMC Certification: Experience with EMI and EMC certification processes. Environmental Compliances: Understanding of environmental compliance requirements. CE, E Markings: Familiarity with certifications such as CE and E Markings. Interpersonal Skills: Excellent interpersonal and communication skills. Hardware Design Development: Strong skills in hardware design and development. What We Offer

Hardware Design

RLE India Private Limited•

Bengaluru

•full time

Job Summary We are seeking a highly skilled and experienced Hardware Design professional to join our team. This role will be responsible for the design and development of hardware solutions, ensuring they meet performance, reliability, and manufacturability requirements. The ideal candidate will possess a strong foundation in electrical engineering principles and a proven ability to translate design concepts into functional hardware. Key Responsibilities This role will involve a range of responsibilities related to the design and validation of hardware components and systems. The candidate will be expected to contribute to the entire hardware development lifecycle, from initial concept to production release. Required Skills & Qualifications B.E./B.Tech/B.Sc or M.E./M.Tech/M.Sc in Electrical Engineering : A foundational degree in Electrical Engineering is required, demonstrating a strong understanding of electrical engineering principles and practices. Electrical Engineering : A deep understanding of electrical engineering principles, including circuit theory, electromagnetics, and signal processing, is essential. Hardware Engineering : Demonstrated experience in hardware design and development, with a focus on creating robust and reliable hardware solutions. Schematic Capture : Proficiency in creating detailed and accurate schematics using industry-standard tools, ensuring clear documentation of circuit designs. PCB Layout Design : Expertise in designing printed circuit boards ( PCB s) that optimize signal integrity, thermal management, and manufacturability. Circuit Simulation : Ability to utilize circuit simulation tools to analyze and optimize circuit performance before physical implementation. PCB Design : Comprehensive knowledge of PCB design principles, including layer stack-up, trace routing, and component placement. Testing : Experience in designing and executing hardware testing plans to validate functionality and identify potential issues. Manufacturing : Understanding of manufacturing processes and design for manufacturability (DFM) principles. Problem Solving : Strong analytical and problem-solving skills to effectively troubleshoot hardware issues and identify root causes. Communication Skills : Excellent written and verbal communication skills to effectively collaborate with cross-functional teams. Analytical Skills : Ability to analyze complex data and draw meaningful conclusions to inform design decisions. LTE : Knowledge of Long-Term Evolution ( LTE ) wireless communication standards and their implementation in hardware. Wi-Fi : Familiarity with Wi-Fi wireless communication protocols and their integration into hardware designs. GNSS : Understanding of Global Navigation Satellite Systems ( GNSS ) and their application in hardware solutions. BLE : Experience with Bluetooth Low Energy ( BLE ) technology and its implementation in hardware. CAN : Knowledge of Controller Area Network ( CAN ) communication protocol and its use in automotive and industrial applications. RS-485 : Familiarity with the RS-485 serial communication standard and its application in hardware designs. SPI : Understanding of Serial Peripheral Interface ( SPI ) protocol and its implementation in hardware. I2C : Knowledge of Inter-Integrated Circuit ( I2C ) protocol and its application in hardware designs. Relays : Experience in designing and integrating relay circuits into hardware systems. Power Supply Circuits : Expertise in designing and implementing efficient and reliable power supply circuits. Micro-Controller Design : Experience in designing and integrating micro-controllers into hardware systems. Sensing Circuits : Ability to design and implement circuits for various types of sensors. VCU : Understanding of Vehicle Control Unit ( VCU ) functionality and integration with hardware components. BMS : Knowledge of Battery Management System ( BMS ) principles and their application in hardware designs. Chargers : Experience in designing and implementing charging circuits for various battery types. Power-Train : Familiarity with power-train systems and their integration with hardware components. Instrument Clusters : Understanding of instrument cluster design and integration with hardware components. RCA : Ability to perform Root Cause Analysis ( RCA ) to identify and resolve hardware issues. Experience Required: The ideal candidate will possess a minimum of 10-18 years of relevant experience in hardware design and development. This level of experience indicates a high degree of proficiency and the ability to lead complex hardware projects. What We Offer Salary: Work Mode: Onsite

AI Build Engineer

RLE India Private Limited•

Bengaluru

+2 More

Other Locations2 cities

Chennai

Hyderabad

•full time

Job Summary We are seeking a skilled and experienced AI Build Engineer to join our dynamic team. This role will be responsible for building and deploying cutting-edge AI solutions, leveraging a variety of technologies and methodologies. The ideal candidate will possess a strong foundation in software engineering principles and a passion for AI innovation. Key Responsibilities The AI Build Engineer will be responsible for the design, development, and implementation of AI applications. This includes collaborating with cross-functional teams to define requirements, designing and building robust and scalable AI solutions, and ensuring the quality and reliability of deployed AI models. The role also involves continuous monitoring and optimization of AI systems to ensure peak performance and alignment with business objectives. Required Skills & Qualifications Programming Languages: Proficiency in multiple programming languages including Python , JavaScript , TypeScript , and C# . This includes the ability to write clean, efficient, and well-documented code. Large Language Models (LLMs): A strong understanding of LLMs and their application in various use cases. Retrieval-Augmented Generation (RAG): Experience with RAG techniques to enhance the capabilities of LLMs . Prompt Engineering: Expertise in Prompt Engineering to design effective prompts for LLMs . Vector Databases: Familiarity with Vector Databases and their use in storing and retrieving vector embeddings. Agentic AI: Knowledge of Agentic AI principles and their application in building autonomous agents. Cloud Platforms: Experience with cloud platforms such as Azure and AWS , including Azure AI Services , Azure OpenAI , AWS Bedrock , and Vertex AI . Containerization & Orchestration: Proficiency in Docker and Kubernetes for containerizing and orchestrating AI applications. DevOps & CI/CD: Experience with DevOps practices and CI/CD pipelines using tools like GitHub Actions and Azure DevOps . MLOps: Understanding of MLOps principles and best practices for managing the ML lifecycle. AI Application Integration: Ability to integrate AI applications into existing systems and workflows. Testing & Monitoring: Experience with AI-infused testing , Monitoring , and Observability tools and techniques. Governance: Understanding of Governance principles related to AI systems. API & Microservices: Experience with API development and Microservices architectures. Additional Skills: Familiarity with MCP , Playwright , and AI copilots . Qualifications: Possession of AI/Cloud certifications such as Azure AI Engineer or AWS ML is highly desirable. Experience Required: We are seeking candidates with 5-10 years of relevant experience in software engineering and AI development. This level of experience should demonstrate a proven ability to design, build, and deploy complex AI solutions in a production environment. What We Offer The role is onsite .

AI Build Engineer (GenAI / Agentic AI / AI Automation)

RLE India Private Limited•

Bengaluru

+2 More

Other Locations2 cities

Chennai

Hyderabad

•Full-time

Job Summary We are seeking a skilled and experienced AI Build Engineer to join our growing team. This role will focus on the development and implementation of cutting-edge AI solutions, specifically within the realms of GenAI , Agentic AI , and AI Automation . The ideal candidate will possess a strong foundation in software engineering principles and a passion for leveraging AI to solve complex business challenges. This position is located in Bengaluru, Chennai, or Hyderabad. Key Responsibilities The AI Build Engineer will be responsible for designing, building, and deploying AI -powered applications and systems. This includes collaborating with cross-functional teams to define requirements, developing robust and scalable solutions, and ensuring the ongoing performance and reliability of deployed systems. The role demands a proactive approach to problem-solving and a commitment to delivering high-quality AI solutions. Required Skills & Qualifications Programming Languages: Proficiency in multiple programming languages is essential, including Python , JavaScript , TypeScript , and C# . Experience should demonstrate the ability to write clean, efficient, and well-documented code. Large Language Models (LLMs): A strong understanding of LLMs and their application in various use cases. Retrieval Augmented Generation (RAG): Experience implementing RAG architectures to enhance LLM capabilities with external knowledge sources. Prompt Engineering: Expertise in crafting effective prompts to elicit desired responses from LLMs . Vector Databases: Familiarity with vector databases and their use in storing and querying vector embeddings. Agentic AI: Experience in developing and deploying Agentic AI systems, leveraging autonomous agents to perform complex tasks. Model Context Protocol (MCP): Understanding of MCP and its role in managing AI model context. Testing & Automation: Experience with Playwright and AI-infused testing solutions to ensure the quality and reliability of AI systems. Frameworks & Libraries: Proficiency in utilizing frameworks and libraries such as LangChain and LangGraph for building LLM -powered applications. Cloud Platforms: Experience with Azure OpenAI , AWS Bedrock , and Vertex AI for developing and deploying AI models. Containerization & Orchestration: Solid understanding of Docker and Kubernetes for containerizing and orchestrating AI applications. DevOps & CI/CD: Experience with GitHub Actions and Azure DevOps for implementing CI/CD pipelines. MLOps: Knowledge of MLOps principles and practices for managing the entire ML lifecycle. AI Copilots: Familiarity with AI copilots and their integration into development workflows. Autonomous Agents: Experience in designing and implementing autonomous agents for various tasks. API & Microservices: Experience designing and building APIs and microservices for AI applications. Infrastructure: Understanding of monitoring , observability , and governance best practices for AI systems. Security: Commitment to building secure and responsible AI solutions. Analytical & Problem-Solving Skills: Strong analytical skills and problem-solving skills to effectively troubleshoot and resolve issues. Communication Skills: Excellent communication skills to effectively collaborate with cross-functional teams. Experience Required: 5 - 10 years of experience in software engineering with a focus on AI development. This level of experience is expected to demonstrate a proven ability to design, build, and deploy complex AI systems. The candidate should be comfortable working independently and as part of a team, and possess a strong understanding of software development best practices. Qualifications: AI/Cloud certifications ( Azure AI Engineer , AWS ML , etc.) are preferred. What We Offer Salary:

AI Build Engineer

RLE India Private Limited•

Bengaluru

+2 More

Other Locations2 cities

Chennai

Hyderabad

•full time

Job Summary We are seeking a skilled and motivated AI Build Engineer to join our growing team. This role will focus on building, deploying, and maintaining robust and scalable AI solutions. The ideal candidate will possess a strong foundation in software engineering principles and a passion for leveraging cutting-edge AI technologies. Key Responsibilities The AI Build Engineer will be responsible for the following: Developing and implementing AI models and applications using various programming languages and frameworks. Building and maintaining robust CI/CD pipelines for automated testing, building, and deployment of AI models. Ensuring the quality and reliability of AI solutions through rigorous testing and monitoring . Collaborating with cross-functional teams to define, design, and ship new features. Implementing and maintaining governance policies for AI models. Required Skills & Qualifications To be successful in this role, candidates must possess the following skills and qualifications: Proficiency in programming languages including Python , JavaScript , TypeScript , and C# . Experience with large language models ( LLMs ) and related techniques such as RAG (Retrieval Augmented Generation) and Prompt Engineering . Solid understanding of vector databases and their application in AI systems. Familiarity with Agentic AI concepts and implementation. Experience with Model Context Protocol (MCP) . Experience with testing frameworks such as Playwright . Experience with frameworks such as LangChain and LangGraph . Experience with cloud-based AI services including Azure OpenAI , AWS Bedrock , and Azure AI Services , and Vertex AI . Strong experience with containerization technologies such as Docker and orchestration platforms like Kubernetes . Experience with version control systems such as GitHub Actions and Azure DevOps . Knowledge of MLOps principles and practices. Familiarity with AI copilots and Autonomous agents . Experience with AI-infused testing solutions . Understanding of API design and development. Experience building Microservices architectures. Strong Analytical Skills , Problem-Solving Skills , and Communication Skills . Experience Required: 5 - 10 years of experience in software engineering with a focus on AI/ML. This level of experience indicates a seasoned professional capable of independently designing, developing, and deploying complex AI solutions. The candidate should be comfortable working in a fast-paced environment and collaborating with a diverse team of engineers and researchers. What We Offer Salary: