GIT 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 0

RLE India Private Limited•

Chennai

•Full-time

Software Engineer (3) - Core Engineer 0 Job Summary We are seeking a highly motivated and experienced Software Engineer to join our core engineering team in Chennai. This role requires a strong foundation in software development principles and a passion for building robust and scalable applications. The ideal candidate will possess a blend of technical expertise and a collaborative spirit, contributing to a dynamic and innovative environment. Key Responsibilities The Software Engineer will be responsible for designing, developing, and maintaining high-quality software solutions. This includes collaborating with cross-functional teams to define requirements, implementing efficient and testable code, and participating in code reviews to ensure adherence to coding standards and best practices. The role also involves troubleshooting and resolving software defects, and contributing to the continuous improvement of our development processes. Required Skills & Qualifications Education: A Bachelor's Degree is required. Experience: A minimum of 6 - 6 years of experience in software development is expected. This level of experience indicates a seasoned professional capable of independently contributing to complex projects and mentoring junior team members. Programming Languages: Proficiency in Java and JavaScript is essential. Frameworks & Technologies: Demonstrated experience with Angular , Springboot , and Spring Security . Cloud Technologies: Familiarity with Spring Cloud is highly desirable. Web Technologies: Solid understanding of HTML5 and CSS3 for building modern web applications. Architectural Patterns: Strong understanding of Microservices Architecture and the ability to design and implement scalable microservices. API Design: Expertise in RESTful API Design principles and best practices. Messaging: Experience with Asynchronous Messaging patterns and technologies. Version Control: Proficiency in using Git , GitHub , GitLab , or Bitbucket for version control and collaborative development. Analytical Skills: Exceptional Analytical Thinking skills to effectively analyze complex problems and develop creative solutions. Problem-Solving Skills: Proven Problem-Solving Skills to identify, diagnose, and resolve software defects and technical challenges. 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:

Embedded Engineer

RLE India Private Limited•

Bengaluru

+1 More

Other Locations1 cities

Pune

•full time

Job Summary We are seeking a skilled and motivated Embedded Engineer to join our growing team. This role will be focused on developing and integrating embedded systems, specifically within the Android Automotive domain. The ideal candidate will possess a strong understanding of embedded Linux, Android development, and experience with board bring-up and debugging. This is an onsite position. Key Responsibilities The Embedded Engineer will be responsible for the full lifecycle of embedded systems development, from initial concept and design to implementation, testing, and integration. This includes working closely with cross-functional teams to ensure seamless integration of hardware and software components. Required Skills & Qualifications Android Embedded Development: Demonstrated proficiency in developing applications and system components for embedded Android platforms. Android OS: A thorough understanding of the Android operating system architecture and its underlying principles. Yocto: Experience utilizing 1 Yocto Project for building and customizing embedded Linux distributions. BSP Development: Ability to develop and maintain Board Support Packages (BSPs) , including kernel configuration and device driver integration. BSP Integration: Skill in integrating BSPs with hardware platforms and ensuring proper functionality. Embedded Linux: Strong knowledge of Embedded Linux operating systems and their application in embedded devices. Board bring-up: Experience with the process of bringing up new hardware platforms, including initial configuration and testing. Debugging: Proven ability to effectively debug and troubleshoot embedded systems, utilizing various debugging tools and techniques. Android Framework: Familiarity with the Android Framework and its components, including the ability to customize and extend its functionality. System Components: Understanding of core system components within Android and their interactions. Device Configurations: Ability to configure and optimize device configurations for embedded Android platforms. Product Development: Experience participating in the full product development lifecycle, from concept to release. Integration: Skill in integrating various hardware and software components into a cohesive system. Android Automotive: Specific experience with Android Automotive platforms and their unique requirements. Automotive Domain: A general understanding of the automotive domain and its specific challenges. C/C++: Proficiency in C/C++ programming languages for embedded systems development. Kernel: Solid understanding of kernel architecture and its role in embedded systems. Device Drivers: Experience developing and integrating device drivers for various hardware peripherals. HAL: Knowledge of Hardware Abstraction Layer (HAL) and its role in decoupling hardware from software. Git: Proficiency in using Git for version control and collaborative development. Bsp: Familiarity with Bsp concepts and best practices. Android: Comprehensive knowledge of the Android operating system and its ecosystem. Experience Required: 3 - 5 years of experience in embedded systems development. This level of experience indicates a candidate who can work independently, solve complex problems, and contribute significantly to the team's success. A Bachelor’s degree is expected. What We Offer Salary: 15 LPA - 18 LPA

Software Engineer – Backend

Be limitless•

Bengaluru

•full time

Job Summary We are seeking two Software Engineer – Backend professionals to join our growing team in Bengaluru. This is a full-time position within the IT / Technology industry. The ideal candidate will possess a strong foundation in backend development principles and a passion for building scalable and robust systems. Key Responsibilities While specific responsibilities will evolve with project needs, the Software Engineer – Backend will be expected to contribute to the full software development lifecycle, from design and implementation to testing and deployment. This role requires a proactive approach to problem-solving and a commitment to delivering high-quality code. Required Skills & Qualifications To be successful in this role, candidates must demonstrate proficiency in the following areas: Python : Demonstrated ability to write clean, efficient, and well-documented Python code. Django : Experience building web applications using the Django framework, including understanding of its core concepts and best practices. Django REST Framework : Ability to design and implement REST APIs using Django REST Framework , ensuring adherence to industry standards. PostgreSQL : Strong understanding of relational database principles and experience working with PostgreSQL , including schema design, query optimization, and data integrity. REST APIs : Comprehensive knowledge of REST APIs , including design principles, implementation techniques, and best practices for building scalable and maintainable APIs. Git : Proficiency in using Git for version control, including branching, merging, and resolving conflicts. Docker : Experience containerizing applications using Docker , including creating Docker files and managing Docker images. Kubernetes : Familiarity with Kubernetes for container orchestration, including deploying and managing applications in a Kubernetes cluster. AI/ML APIs : Understanding of AI/ML APIs and experience integrating them into backend systems. Software Development Principles : Solid understanding of fundamental Software Development Principles , including object-oriented programming, design patterns, and code maintainability. Analytical Skills : Ability to analyze complex problems, identify root causes, and develop effective solutions. Problem-Solving Skills : Demonstrated ability to troubleshoot and resolve technical issues efficiently and effectively. Communication Skills : Excellent written and verbal communication skills, with the ability to clearly articulate technical concepts to both technical and non-technical audiences. Qualifications : A Bachelor's degree in Computer Science, Information Technology, Electronics, or a related field is required. Experience Required : 1 - 3 years of experience in backend software development. This level of experience indicates a candidate who is capable of working independently and contributing meaningfully to a team, while still having opportunities for growth and learning. What We Offer Salary : 6 LPA - 10 LPA

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

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: