Agentic AI Developer | LangGraph | LangChain | Python

🚀 Hiring: Agentic AI Developer | LangGraph | LangChain | Python
Experience: 3–7 Years
Relevant Agentic AI / GenAI Experience: 1–3 Years
Location: PAN India
Employment Type: Contract / Project-Based
Openings: 3 Positions
🔹 Role Overview
We are looking for experienced Agentic AI Developers with hands-on expertise in Python, LangGraph, LangChain, LLM integration, AI agents, and multi-agent systems.
The selected candidates will design, develop, and integrate intelligent AI agents and autonomous workflows for enterprise applications. The role requires strong programming skills combined with practical experience building LLM-powered applications, tool-calling workflows, and agent orchestration.
🔹 Key Responsibilities
Design and develop AI agents and multi-agent workflows using LangGraph and LangChain.
Build conversational AI applications and autonomous business workflows.
Integrate AI agents with REST APIs, databases, enterprise applications, and external tools.
Implement tool calling, memory, state management, workflow orchestration, and agent-to-agent interactions.
Integrate and work with LLMs such as OpenAI, Gemini, and Claude.
Develop and optimize prompt engineering strategies.
Build reliable and scalable AI-agent workflows for enterprise use cases.
Monitor agent performance, troubleshoot issues, and improve reliability and response quality.
Collaborate with software engineers, AI/ML teams, product teams, and business stakeholders.
Contribute to testing, deployment, documentation, and production support of AI solutions.
🔥 Mandatory Technical Skills
Python – Mandatory
LangGraph – Mandatory
LangChain – Mandatory
Strong understanding of Agentic AI
Experience with Multi-Agent Systems
LLM Integration
FastAPI
Experience with OpenAI / Gemini / Claude APIs
Prompt Engineering
REST APIs
Tool Calling / Function Calling
AI Workflow Orchestration
Git / Version Control
⭐ Good to Have
RAG – Retrieval-Augmented Generation
Vector Databases
LangSmith
RAGAS
TruLens
AWS / Azure / GCP
Docker / Containerization
Kubernetes
LLM evaluation and observability
Embeddings and semantic search
👤 Candidate Profile
The ideal candidate should have:
✅ 3–7 years of overall software development experience
✅ 1–3 years of hands-on Agentic AI / GenAI experience
✅ Strong Python development skills
✅ Hands-on experience with LangGraph + LangChain
✅ Experience building AI agents / multi-agent workflows
✅ Experience integrating LLM APIs and enterprise tools
✅ Understanding of tool calling and workflow orchestration
✅ Strong API integration and problem-solving skills
✅ Ability to work on production-oriented AI applications
🎯 Interview Process
Round 1: Customer Interview
Round 2: 1–2 Subsequent Client Interview Rounds
📩 How to Apply
Interested candidates can share their updated CV along with:
Total Experience
Python Experience
Agentic AI / GenAI Experience
LangGraph Experience
LangChain Experience
Multi-Agent System Experience
LLM/API Experience – OpenAI/Gemini/Claude
FastAPI Experience
RAG / Vector Database Experience
Current Location
Notice Period / Availability
Current CTC & Expected CTC
📧 Email: priyanka.jadhav@philodesigntech.com
📱 WhatsApp: +91 92848 05350
🔎 LinkedIn Recruiter Search Keywords
Agentic AI Developer, Agentic AI Engineer, AI Agent Developer, AI Engineer, Generative AI Developer, GenAI Developer, LLM Engineer, LLM Developer, AI/ML Engineer, Python AI Developer, LangGraph Developer, LangGraph Engineer, LangChain Developer, LangChain Engineer, Multi-Agent Systems, Multi-Agent AI, AI Agents, LLM Integration, LLM Applications, OpenAI, Gemini, Claude, FastAPI, Prompt Engineering, Tool Calling, Function Calling, AI Workflow, AI Orchestration, RAG, Vector Database, LangSmith, RAGAS, TruLens, Python, REST API, Docker, AWS, Azure, GCP.
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Work arrangement
No