Python LangChain

Posted on August 4, 2025

Apply Now

Job Description

  • Position:- Python LangChain
  • Exp:- 5 Years
  • Location :- Remote
  • Budget:- 80k
  • Start Date
  • Immediate - 2 weeks
  • * Offer Details:
  • * Commitments Required: Full time 8 hours per day with a 4-hour overlap with PST
  • * Employment type : Contractor position (no medical/paid leave)
  • * Duration of contract : 3 month; [expected start date is next week]
  • Skill
  • Python, LLM integration, LangChain, LangGraph, RAG pipelines, agent frameworks
  • Availability
  • Full Time Availability (8 Hrs) and 4 hours overlap with PST time zone
  • Role Overview:
  • This role is for an experienced and high-caliber engineer with strong proficiency in Python and hands-on expertise integrating Large Language Models (LLMs) into production systems. This individual contributor (IC) role focuses on designing robust backend services and orchestrating LLM workflows.
  • Please note : this is a software engineering role, not one in data annotation, data science, or analytics.
  • What does day-to-day look like:
  • * Designing and implementing production-grade APIs and backend services in Python
  • * Building and maintaining LLM-powered systems, including agent frameworks and orchestration using tools like LangChain and LangGraph
  • * Efficiently integrating LLM calls into backend workflows
  • * Collaborating across functions to develop reliable, maintainable systems
  • Requirements:
  • * 5+ years of experience as a backend or full-stack engineer with a strong backend focus
  • * Advanced proficiency in Python
  • * Practical experience integrating LLMs (e.g., RAG pipelines, agent frameworks, LangChain, LangGraph, or similar)
  • * Background in machine learning engineering is a strong plus
  • * Solid understanding of service architecture and production deployment workflows
  • * Perks of Freelancing With Turing:
  • * Work in a fully remote environment.
  • * Opportunity to work on cutting-edge AI projects with leading LLM companies.
  • * Potential for contract extension based on performance and project needs.
  • * Note for Partners:
  • * Partners must apply the following mandatory criteria during candidate shortlisting:
  • * Minimum 5 years in backend/full-stack development with strong Python & LLM integration experience
  • * Hands-on LLM integration in production (not academic/chatbot-only experience)
  • * Expertise in designing production-grade APIs and backend services
  • * Practical experience with LangChain, LangGraph, RAG pipelines, agent frameworks
  • * Strong knowledge of async workflows, deployment, observability, and performance
  • This is a software engineering role (not data science, analytics, or annotation)

Required Skills

python llm integration langchain langgraph