Senior Generative AI Developer – Agentic AI

Experience: 5-8 Years

Employment Type: Full-time

Job Summary

We are looking for an experienced AI Agent Developer with strong expertise in building, deploying, and monitoring AI agents using the LangChain ecosystem. The ideal candidate should have hands-on experience in developing agentic AI applications, implementing orchestration workflows, evaluating LLM performance, and deploying production-ready AI solutions. The role requires proficiency in Python, Databricks, SQL, and modern AI agent frameworks such as LangChain, LangGraph, and LangSmith.

Key Responsibilities

Mandatory Skills

• 5+ years of software engineering experience, including 2+ years of hands-on experience in LLM/Generative AI application development.
• Strong proficiency in Python.
• Hands-on experience with LangChain for building and deploying AI agents.
• Strong expertise in LangGraph for developing multi-agent orchestration workflows.
• Experience with LangSmith for observability, tracing, debugging, evaluations, and prompt testing.
• Strong understanding of LLM application development, including prompt engineering, RAG, embeddings, vector databases, tool calling, memory management, and agent orchestration.
• Experience working with Databricks and MS SQL.
• Experience deploying, monitoring, and optimizing AI agents in production environments.
• Strong analytical, debugging, and problem-solving skills.

  Good-to-Have Skills

• Experience in the Payments/Financial Services domain.
• Experience with cloud platforms (Azure, AWS, or GCP).
• Knowledge of AI model evaluation frameworks and LLMOps best practices.
• Experience working in Agile/Scrum environments.

  Preferred Candidate Profile

• Experience developing enterprise-scale AI agent solutions.
• Strong understanding of AI agent lifecycle: Build → Test → Evaluate → Deploy → Monitor.
• Passion for building reliable, scalable, and production-ready Generative AI applications.
• Excellent communication and collaboration skills.