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Back-end Software Development Engineering Engineer 0 Job Summary We are seeking a skilled Back-end Software Development Engineering Engineer 0 to join our team in Chennai. 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 solve complex problems. Key Responsibilities The specific responsibilities will be determined based on the needs of the project and the candidate's strengths. The role will involve contributing to the design, development, and maintenance of robust and scalable back-end systems. Required Skills & Qualifications Education: A Bachelor's Degree is required. Experience: 5-6 years of experience in back-end software development are expected. This level of experience indicates a proficiency in designing and implementing complex systems, as well as a demonstrated ability to work independently and as part of a team. Programming Languages: Demonstrated proficiency in Java and Python is essential. Frameworks & Technologies: Experience with Spring Boot is required. Familiarity with GCP and Cloud environments is highly desirable. Legacy Systems: Experience with Mainframe Systems and JCL is a significant advantage, particularly in the context of Legacy Modernization efforts. Databases: Strong understanding and experience with DB2 is required. Code Quality & Analysis: Experience utilizing SonarQube for code analysis and quality assurance. Data Integration: Experience with Pub/Sub for data streaming and integration. Artificial Intelligence: Foundational understanding of AI concepts and their application to software development. Large Language Models: Familiarity with LLM Integration and Prompt Engineering techniques. Analytical Skills: Strong Analytical Skills are required to effectively analyze complex problems and develop innovative solutions. Problem-Solving Skills: Excellent Problem-Solving Skills are essential for troubleshooting and resolving technical challenges. Communication Skills: Effective Communication Skills are necessary for collaborating with team members and stakeholders. Documentation: Experience with Documentation Tooling to create and maintain clear and concise technical documentation. What We Offer Salary:
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 .
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