? 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

✅ Robust 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: [email protected] ? 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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📌 Agentic AI Developer | LangGraph | LangChain | Python (Pune)
🏢 Philodesign Technologies
📍 Pune