Python Developer

Tekskills; New Delhi; Hybrid; INR 900,000 - 1,800,000; Full time

Job summary

Tekskills seeks a Python Developer with strong LangChain and LangGraph experience to design and build intelligent, LLM-powered applications. You will create scalable AI workflows, agent-based systems, and backend services integrating Large Language Models with enterprise systems.

Responsibilities include building LLM-driven applications, developing APIs, and optimizing performance while ensuring security and data privacy.

Qualifications

• Proficient in Python with strong debugging skills.
• Hands-on experience with LangChain and LangGraph.
• Experience building LLM applications, agents, or RAG pipelines.
• Understanding of prompt engineering, embeddings, and vector search.
• Experience with REST API development and Git.

Responsibilities

• Design and develop LLM-driven applications using Python.
• Build AI workflows, chains, and agent-based architectures with LangChain/LangGraph.
• Implement multi-step reasoning and memory management for workflows.
• Integrate LLMs into backend systems via APIs and services.
• Optimize model performance, latency, and cost; monitor pipelines.
• Collaborate with data scientists and product teams to deliver solutions.

Skills

Python

LangChain

LangGraph

LLM apps

REST APIs

Vector search

Job description

Exp: 5+ YrsPan indiaOnly from Tier 1 Companies

NP : IMMEDIATE

Location : Pan india

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