Python Developer

Tekskills; Vadodara; On-site; INR 900,000 - 1,300,000; Full time

Job summary

Tekskills is seeking a Python developer to design and build LLM-powered applications using LangChain and LangGraph. The role focuses on creating scalable AI workflows, agent-based systems, and backend services that integrate OpenAI, Azure OpenAI, and other providers.

You will implement prompt engineering, memory management, vector search, and RAG pipelines, while ensuring security and responsible AI practices in production environments.

Qualifications

• Strong Python development skills with focus on LLM workflows.
• Experience building LangChain and LangGraph based applications.
• Proven ability to design LLM-driven backends and agent-based systems.
• Understanding of embeddings, vector search, and memory management.
• Experience with REST API development and Git collaboration.

Responsibilities

• Design and develop LLM-driven applications using Python.
• Build AI workflows, chains, and agent-based architectures with LangChain and LangGraph.
• Implement multi-step reasoning and stateful workflows for robust pipelines.
• Integrate LLMs into backend systems and expose functionality via APIs.
• Optimize performance, latency, and cost of AI workflows.
• Collaborate with data scientists, product managers, and frontend teams.

Skills

Python

LangChain

LangGraph

LLM apps

REST API

AI workflows

RAG pipelines

Debugging

Git

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 LangGraphto 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 applicationsusing Python
• Build AI workflows, chains, and agent-based architectures using LangChainand 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 LangChainand/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