Role & Responsibilities

- Design, build, deploy, and operate end-to-end AI systems for real business use cases.

- Build AI agent systems involving tool/function calling, multi-step orchestration, memory, state management, and structured outputs.

- Develop RAG and retrieval systems using embeddings, vector search, pgvector, or other vector databases.

- Design governance and control mechanisms for AI systems, including approval workflows, audit trails, access controls, and security controls.

- Build evaluation frameworks to measure AI system performance, quality, reliability, cost, and latency.

- Develop scalable backend services using Node.js or Java Spring Boot, with Python as an added advantage.

- Build and maintain REST APIs, asynchronous workflows, background jobs, queues, retries, caching, and real-time communication.

- Develop production-ready frontend applications using React.js, Next.js, and TypeScript.

- Work with PostgreSQL/SQL, including database design, indexing, transactions, query optimisation, and vector search.

- Implement authentication and authorization using OAuth 2.0, OpenID Connect, SSO, JWT, and RBAC.

- Own deployments using Docker and CI/CD and ensure proper monitoring and observability of production systems.

- Take ownership of technical problems from architecture and design through development, deployment, and production support.

- Work independently on ambiguous business problems and propose practical technical solutions.

Preferred candidate profile

- 4-6 years of experience in software engineering,



full-stack development, or AI systems engineering. Candidates with fewer years may also be considered if they demonstrate robust end-to-end system ownership.

- Strong hands-on experience in building and deploying LLM/Generative AI applications for real users or production environments.

- Experience with AI Agents, Agentic Workflows, Tool Calling, Function Calling, RAG, Embeddings, Vector Search, and LLM Evaluation.

- Robust backend expertise in Node.js or Java Spring Boot. Python experience is a strong advantage.

- Hands-on experience with React.js, Next.js, and TypeScript.

- Strong experience in PostgreSQL, SQL, database design, indexing, query optimisation, and vector databases/pgvector.

- Experience implementing OAuth 2.0, OpenID Connect, SSO, JWT, RBAC, and API security in production environments.

- Hands-on experience with Docker, CI/CD, deployment, monitoring, and observability.

- Experience working with cloud platforms such as AWS, Azure, or GCP will be an added advantage.

- Exposure to LangChain, LangGraph, MCP, Kafka, RabbitMQ, open-source models, voice, or multimodal AI is desirable.

- Must demonstrate strong system ownership, problem-solving ability, technical judgement, and the ability to work independently.

- Candidates who can showcase a GitHub repository, live application, technical write-up, or architecture document of a system they have personally built will be preferred.

- Candidates should be comfortable working on-site from Chennai.

📌 AI Systems Engineer (Full Stack) (Chennai)
🏢 SVaaN Global Tech
📍 Chennai