Python Developer

Tekskills; Kolkata District; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Tekskills, Kolkata, seeks a skilled Python Developer with deep LangChain/LangGraph experience to design and build intelligent, LLM-powered applications. You will craft scalable AI workflows, agent-based systems, and robust backend services that integrate large language models with enterprise systems.

You will design and implement LLM-driven applications, memory management, and vector search pipelines, while collaborating with data scientists and product teams to deliver production-ready

Qualifications

• Proficiency in Python and building LLM-powered apps.
• Experience with LangChain/LangGraph for agent workflows.
• Knowledge of prompt engineering, embeddings, and vector search.

Responsibilities

• Design and build LLM-driven applications using Python.
• Create AI workflows, chains, and agent-based architectures with LangChain/LangGraph.
• Integrate LLMs into backend systems and expose functionality via APIs.
• Implement memory management, prompt engineering, and context handling.

Skills

Python

LangChain

LangGraph

LLM development

REST API development

Git

Debugging

Problem-solving

Tools

LangChain

LangGraph

Job description

Job Description : Python Developer LangChain / LangGraph (LLM Applications)

Job Summary

We are seeking a skilled Python Developer with strong experience in LangChain and/or LangGraph to design and build intelligent, LLM-powered applications. The role involves developing scalable AI workflows, agent-based systems, and backend services that integrate Large Language Models with enterprise systems.

Key Responsibilities

• Design and develop LLM-driven applications using Python
• Build AI workflows, chains, and agent-based architectures using LangChain and LangGraph
• Implement multi-step reasoning, stateful workflows, and tool-based agents
• Integrate LLMs (OpenAI, Azure OpenAI, Anthropic, etc.) into backend systems
• Develop APIs and backend services to expose LLM functionality
• Implement prompt engineering, memory management, and context handling
• Optimize model performance, latency, and cost
• Integrate vector databases and retrieval mechanisms for RAG solutions
• Ensure security, data privacy, and responsible AI practices
• Debug, monitor, and enhance AI pipelines in production
• Collaborate with data scientists, product managers, and frontend teams

Required Skills & Qualifications

• Strong proficiency in Python
• Hands-on experience with LangChain and/or LangGraph
• Experience building LLM applications, agents, or RAG pipelines
• Understanding of prompt engineering, embeddings, and vector search
• Experience with LLM providers (OpenAI, Azure OpenAI, Anthropic, etc.)
• Knowledge of REST API development
• Familiarity with AI workflow orchestration and state management
• Strong debugging and problem-solving skills
• Experience using Git and collaborative development practices