Position: Full Stack AI Engineer

Job Type: Contract to Hire(C2H)

Experience: 3+ Years

Location: Bangalore & Chennai

Joining: Immediate Joiners Preferred

Role Overview

We are building autonomous, LLM-powered agents in-house from the ground up, with no off-the-shelf vendor platform. Working alongside senior engineers, you will design, build, and ship agents that reason over internal data, call tools and APIs, and carry multi-step tasks through to completion. This is a hands-on build role where you will write production-grade Python every day and see your agents go live.

Key Responsibilities

- Build LLM-powered agents from scratch, including prompt design, tool/function calling, memory, and multi-step task orchestration.
- Connect agents to internal databases and APIs, including SQL and data-access layers.
- Implement retrieval pipelines (RAG), including chunking, embeddings, vector search, and relevance tuning.
- Build evaluation harnesses to measure agent accuracy, latency, cost, and failure modes.
- Implement guardrails, retries, error handling, and tracing to ensure predictable agent behavior in production.
- Deploy and monitor agents on cloud infrastructure in collaboration with platform and data teams.

Essential Skills
- 34 years of software engineering experience with robust, production-grade Python.
- At least one LLM application built beyond tutorial level, such as a chatbot, RAG system, or agent,



with the ability to explain design decisions.
- Working knowledge of LLM APIs such as OpenAI, Anthropic, or open-source models, including function/tool calling and structured outputs.
- Strong SQL and relational database fundamentals, including schema design, joins, and query performance.
- REST API development and integration using FastAPI, Flask, or equivalent.
- Strong Git knowledge and familiarity with Docker.
- Practical understanding of LLM agent failure modes, including hallucinations, context limits, tool-call errors, and runaway loops.

Cloud & Data Stack

Azure

- Azure OpenAI Service
- Azure AI Foundry
- Azure AI Search
- Azure Functions
- Cosmos DB
- Azure SQL
- Azure Container Apps

AWS
- Amazon Bedrock
- Amazon OpenSearch or Kendra
- AWS Lambda
- DynamoDB
- RDS/Aurora with pgvector
- ECS/Fargate

Vector Stores
- pgvector
- Pinecone
- Qdrant
- Weaviate
- Chroma

Desirable Skills
- Agent and orchestration frameworks: LangGraph, LangChain, CrewAI, AutoGen, or Semantic Kernel.
- Multi-agent workflows, Model Context Protocol (MCP), async, or streaming architectures.
- LLM observability and evaluation tools such as LangSmith, Langfuse, Arize, or Ragas.
- CI/CD, Infrastructure as Code using Terraform or Bicep, or MLOps/LLMOps deployment experience.
- TypeScript or Node.js for product-facing agent interfaces.
- Open-source contributions or a public portfolio.

📌 Full Stack AI Engineer (Bengaluru)
🏢 Experis
📍 Bengaluru