Senior Generative AI Developer – Agentic AI

Experience: 5–8 Years

Employment Type: Full-time

Job Summary

We are looking for an experiencedAI Agent Developer with strong expertise in building, deploying, and monitoring AI agents using theLangChain 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 asLangChain, LangGraph, and LangSmith.

Key Responsibilities

• Design, develop, and deploy AI agents usingLangChain andLangGraph.
• Build stateful, multi-agent workflows with memory, tool integration, and human-in-the-loop capabilities.
• Develop Retrieval-Augmented Generation (RAG) pipelines and integrate vector databases and embeddings.
• UtilizeLangSmith for tracing, debugging, observability, automated testing, and evaluation of AI agents.
• Create evaluation datasets and implement automated testing frameworks to measure LLM performance and reduce regressions.
• Optimize prompts, reasoning workflows, and agent performance through continuous experimentation and monitoring.
• Deploy, monitor, and maintain AI agents in production environments.
• Build dashboards and s to monitor latency, cost, response quality, and hallucination rates.
• Collaborate with cross-functional teams to integrate AI agents into enterprise applications.
• Follow best practices for AI application development, testing, deployment, and monitoring.

Mandatory Skills

• 5+ years of software engineering experience, including2+ years of hands-on experience in LLM/Generative AI application development.
• Strong proficiency inPython.
• Hands-on experience withLangChain for building and deploying AI agents.
• Strong expertise inLangGraph for developing multi-agent orchestration workflows.
• Experience withLangSmith for observability, tracing, debugging, evaluations, and prompt testing.
• Strong understanding ofLLM application development, including prompt engineering, RAG, embeddings, vector databases, tool calling, memory management, and agent orchestration.
• Experience working withDatabricks andMS SQL.
• Experience deploying, monitoring, and optimizing AI agents in production environments.
• Strong analytical, debugging, and problem-solving skills.

Good-to-Have Skills

• Experience in thePayments/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.