Open Api Jobs

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:

Back-end Software Development Engineer

RLE India Private Limited•

Chennai

•full time

Job Summary We are seeking a skilled Back-end Software Development Engineer to join our growing team. This role is ideal for a highly motivated individual with a strong foundation in back-end development and a passion for leveraging cutting-edge technologies to build scalable and robust solutions. Key Responsibilities The responsibilities of this role will encompass the design, development, and maintenance of our back-end systems. You will be responsible for ensuring the reliability, performance, and security of our applications. Required Skills & Qualifications Full Stack Java Developer : Demonstrated proficiency in Java development, encompassing both front-end and back-end aspects of application development. GCP : Experience with Google Cloud Platform (GCP) services, including deployment, scaling, and management of applications within the GCP environment. Cursor AI : Familiarity with Cursor AI and its application in software development workflows. Open Code AI : Understanding of Open Code AI principles and their implementation in code generation and analysis. Gen AI : Knowledge of Generative AI concepts and their application in software development. Big Query : Expertise in utilizing BigQuery for data warehousing, querying, and analysis. Jira : Proficiency in using Jira for project management, issue tracking, and agile development workflows. Java : Strong understanding of Java programming language and its core principles. Spring Boot : Experience with Spring Boot framework for building stand-alone and production-ready Spring-based applications. Spring MVC : Knowledge of Spring MVC for developing web applications. API Design : Ability to design and implement robust and scalable APIs. REST : Experience with REST ful API design and implementation. GraphQL : Familiarity with GraphQL for efficient data fetching and manipulation. GKE : Experience with Google Kubernetes Engine ( GKE ) for container orchestration. Cloud Run : Understanding of Cloud Run for deploying and managing containerized applications. Pub/Sub : Knowledge of Pub/Sub for asynchronous messaging and event-driven architectures. IAM : Experience with Identity and Access Management ( IAM ) principles and implementation. PostgreSQL : Strong understanding of PostgreSQL database management system. Cloud SQL : Experience with Cloud SQL for managing relational databases in the cloud. Query Tuning : Ability to optimize database queries for performance and efficiency. Replication : Understanding of database replication techniques for high availability and disaster recovery. Indexing : Knowledge of database indexing strategies for improved query performance. BigData : Experience with BigData technologies and processing large datasets. Dataflow : Familiarity with Dataflow for stream and batch data processing. Spark : Experience with Spark for distributed data processing and analytics. Vertex AI : Understanding of Vertex AI for machine learning model deployment and management. LLM APIs : Knowledge of Large Language Model ( LLM ) APIs and their integration into applications. CI/CD : Experience with Continuous Integration and Continuous Delivery ( CI/CD ) pipelines. Docker : Proficiency in using Docker for containerization and application packaging. Kubernetes : Strong understanding of Kubernetes for container orchestration and management. Problem-Solving Skills : Demonstrated ability to analyze complex problems and develop effective solutions. Communication Skills : Excellent written and verbal communication skills for collaborating with team members and stakeholders. Qualifications : A Bachelor's Degree is required. Experience Required : 6 years of experience is preferred. The ideal candidate will possess a proven track record of success in back-end development and a strong understanding of software engineering best practices. What We Offer Salary :

Software Engineer (3) - Core Senior Engineer

RLE India Private Limited•

Chennai

•full time

Job Summary We are seeking a highly skilled and experienced Software Engineer to join our core team. This is a senior-level role requiring a deep understanding of software development principles and a proven ability to design, develop, and deploy scalable and reliable applications. The ideal candidate will possess a strong background in cloud technologies and a passion for building innovative solutions. Key Responsibilities This role will be responsible for the full software development lifecycle, from design and implementation to testing and deployment. The candidate will collaborate with cross-functional teams to deliver high-quality software solutions that meet business requirements. Required Skills & Qualifications Education: A Bachelor's Degree is required. Experience: A minimum of 10 years of experience in software engineering is required. This level of experience indicates a seasoned professional capable of leading technical initiatives and mentoring junior engineers. Programming Languages: Proficiency in Java is essential. Frameworks & Technologies: Demonstrated experience with Spring Boot for building robust and scalable applications. Cloud Computing: Extensive experience with GCP (Google Cloud Platform), including Cloud Run for containerized application deployment. Containerization & Orchestration: Strong understanding of containerization technologies such as Docker and orchestration platforms like Kubernetes , GKE , and OpenShift . Experience with Helm for managing Kubernetes deployments is also required. CI/CD & DevOps: Solid experience with CI/CD pipelines, including tools like Tekton , Argo CD , and GitHub Actions . Familiarity with GitOps principles is a plus. Frontend Development: Experience with Angular for building modern user interfaces. API Development: Proven ability to design and implement REST APIs and Microservices architectures. Integration Patterns: Knowledge of Enterprise Integration Patterns for building loosely coupled and scalable systems. Data Management: Experience with relational databases such as AlloyDB and Cloud SQL for PostgreSQL . Cloud Security: Strong understanding of cloud security principles, including IAM , Service Accounts , Workload Identity Federation , Secret Manager , External Secrets , and Least-Privilege Access Controls . Container Security: Experience with Artifact Registry , Container Security , Binary Authorization , and Vulnerability Scanning . Deployment & Monitoring: Proficiency in Secure Deployment Practices , Cloud Logging , Cloud Monitoring , Prometheus , and Dynatrace/Grafana . Operational Skills: Ability to perform Root-Cause Analysis and implement effective Alerting systems. Infrastructure as Code: Experience with Terraform for managing infrastructure as code. Analytical Skills: Strong Analytical Skills for problem-solving and decision-making. Problem-Solving Skills: Excellent Problem-Solving Skills to identify and resolve complex technical challenges. Communication Skills: Effective Communication Skills for collaborating with cross-functional teams and communicating technical concepts clearly. Networking: Understanding of Application Ingress/Egress , Load Balancing , API Routing , Shared VPC , Private Service Connect , Firewall Rules , and DNS . Connectivity: Experience with Private Connectivity and Cross-Project Communication .

Software Engineer

RLE India Private Limited•

Chennai

•full time

Job Summary We are seeking three Software Engineer professionals to join our growing team. This role is ideal for individuals with a strong foundation in software development and a passion for building scalable and robust applications within the IT / Technology industry. Key Responsibilities The responsibilities of this role will encompass the full software development lifecycle, from design and implementation to testing and deployment. The successful candidate will contribute to the development of high-quality Microservices and RESTful APIs , ensuring adherence to coding standards and best practices. Required Skills & Qualifications Education: A bachelor's degree is required. Experience: A minimum of 10 years of experience in software development is expected. This level of experience indicates a seasoned professional capable of independent work and mentoring junior team members. Programming Languages: Proficiency in Java and Spring Boot is essential. Cloud Technologies: Demonstrated experience with Google Cloud Platform (GCP) , including Cloud Run , and Red Hat OpenShift . Infrastructure Management: Solid understanding of Infrastructure as Code principles and experience with Terraform . DevOps Practices: Familiarity with CI/CD pipelines and associated tools. Database Management: Experience with SQL and Postgres databases. Software Development Best Practices: A commitment to Code Quality and a strong understanding of Testing methodologies, including Unit Testing and Integration Testing . Architectural Patterns: Experience designing and implementing Distributed Systems . Agile Methodologies: Proven ability to work effectively within an Agile development environment. Collaboration & Communication: Excellent Communication Skills and the ability to engage in effective Cross-functional teamwork . Project Management Tools: Experience using Jira for project tracking and issue resolution. Security Practices: A strong understanding of Security principles, including Encryption and Anonymization techniques. API Development: Experience in designing and implementing APIs . Problem-Solving & Analytical Skills: Exceptional Problem-Solving Skills and Analytical Skills . User Interface: Familiarity with User Interface development. JVM: Understanding of the JVM . Debugging: Proficiency in Debugging and Performance Tuning . What We Offer Salary: (No salary provided)

Java Backend Developer

SACHA Engineering•

Bengaluru

+4 More

Other Locations4 cities

Mumbai

Pune

Chennai

Hyderabad

•full time

Exp: 6+ Location: Any CGI Budget : 22 LPA Kotlin Java 21 JPA in combination with Hybernate Relational databases / SQL Spring Framework 6 Open API and Open API code generation REST APIs Database migrations via Flyway GitHub Actions Azure Environment Gradle as build system JUnit 5 for unit tests Testcontainers End-2-end tests using Playwrite Soft skills High degree of independence Willingness and ability to acquire knowledge on their own Open communication with team and client

SOFTWARE ENGINEER - MCAD/DESIGN AUTOMATION

SACHA Engineering•

Bengaluru

•full time

Job Summary We are seeking an experienced and skilled Software Engineer - MCAD/Design Automation to join our team on-site. As a Software Engineer, you will be responsible for developing and implementing design automation solutions using CAD software and programming languages. The ideal candidate will have a strong background in mechanical engineering and proficiency in CAD automation, programming languages, and software development principles. The successful candidate will be responsible for designing, developing, and testing software applications that automate design tasks, improve productivity, and enhance overall design quality. This role requires a deep understanding of mechanical engineering principles, CAD software, and programming languages, as well as excellent problem-solving skills and the ability to communicate complex ideas effectively. Key Responsibilities Develop and implement design automation solutions using CAD software and programming languages such as C++, C#, and VB.Net. Customize and automate CAD software using Siemens NX CAD Software and NX Open/UFunc API. Create and maintain software applications that improve productivity and design quality. Collaborate with cross-functional teams to identify design automation opportunities and implement solutions. Develop and maintain data structures and algorithms to support design automation applications. Integrate CAD software with other systems such as PLM Systems, SAP/ECTR, and Database Systems using API Integration. Utilize version control systems such as Team Foundation Server to manage code changes and collaborate with team members. Troubleshoot and resolve technical issues related to design automation applications. Participate in code reviews and contribute to the improvement of the overall quality of the codebase. Required Skills & Qualifications The ideal candidate will have a Bachelor's degree in Mechanical Engineering and 3-5 years of experience in CAD automation and software development. The successful candidate will possess a strong foundation in the following skills: CAD Automation: Experience with automating CAD tasks using programming languages and CAD software. Mechanical Engineering: Knowledge of mechanical engineering principles and practices. Object-Oriented Programming (OOP): Proficiency in OOP concepts and programming languages such as C++, C#, and VB.Net. Design Patterns: Understanding of design patterns and principles. API Integration: Experience with integrating CAD software with other systems using APIs. CAD Customization: Ability to customize CAD software using Siemens NX CAD Software and NX Open/UFunc API. Assembly, Modeling, and Drawing: Knowledge of CAD assembly, modeling, and drawing techniques. Data Structures and Algorithms: Understanding of data structures and algorithms. Cutting Tools and PLM Systems: Familiarity with cutting tools and PLM systems such as SAP/ECTR. Version Control Systems: Experience with version control systems such as Team Foundation Server. Database Systems: Knowledge of database systems and SQL. Analytical Skills, Logical Thinking, and Problem-Solving Skills: Strong analytical, logical thinking, and problem-solving skills. Communication Skills: Excellent communication skills to effectively convey complex ideas. What We Offer As a Software Engineer - MCAD/Design Automation, you will have the opportunity to work on exciting projects, collaborate with cross-functional teams, and develop your skills in a dynamic and innovative environment.