AI Engineer Enterprise Agent Development @ Uplers

We are looking for a skilled AI Engineer with 3 to 8 years of experience in software engineering or machine learning to design, implement, and productionize LLM-powered agents that solve real-world enterprise problems. This position is based in Kolkata.

• Architect and build multi-agent systems using frameworks such as LangChain, LangGraph, AutoGen, Google ADK, Palantir Foundry, or custom orchestration layers.
• Fine-tune and prompt-engineer LLMs (OpenAI, Anthropic, open-source) for retrieval-augmented generation (RAG), reasoning, and tool use.
• Integrate agents with enterprise data sources (APIs, SQL/NoSQL DBs, vector stores like Pinecone, Elasticsearch) and downstream applications (Snowflake, ServiceNow, custom APIs).
• Own the MLOps lifecycle: containerize (Docker), automate CI/CD, monitor drift & hallucinations, set up guardrails, observability, and rollback strategies.
• Collaborate cross-functionally with product, UX, and customer teams to translate requirements into robust agent capabilities and user-facing features.
• Benchmark and iterate on latency, cost, and accuracy; design experiments, run A/B tests, and present findings to stakeholders.

• Strong Python skills (async I/O, typing, testing) plus familiarity with TypeScript/Node or Go is a bonus.
• Hands-on experience with at least one LLM/agent framework and platform (LangChain, LangGraph, Google ADK, LlamaIndex, Emma, etc.).
• Solid grasp of vector databases (Pinecone, Weaviate, FAISS) and embedding models.
• Experience building and securing REST/GraphQL APIs and microservices.
• Cloud skills on AWS, Azure, or GCP (serverless, IAM, networking, cost optimization).
• Proficient with Git, Docker, CI/CD (GitHub Actions, GitLab CI, or similar).