Lead Backend Engineer – AI Agents & LangChain (3 Months Contract)

Work Type: Contractor | Permanent Remote


Experience Required: 5 – 8 Years


Contract Duration: 3 Months


Notice Period: Max 2 week
Note: This is a contract-based, fully remote opportunity. Payments are made based on actual hours worked. No paid leaves or benefits are included. The contractor must handle their own taxes and compliances.
Job Overview

• We are seeking an experienced Senior Python Engineer to help build and maintain production-grade systems powered by Large Language Models (LLMs). This is a pure software engineering role focused on backend architecture, API design, and intelligent system orchestration — not data science, annotation, or analytics.

• You’ll be developing LLM-integrated systems using modern frameworks like LangChain or LangGraph, helping design scalable backend services that support AI agent functionality and intelligent workflows.

Key Responsibilities

• Design and implement robust backend services and production APIs using Python

• Build and maintain LLM-powered systems, including RAG pipelines, agent workflows, and orchestration layers

• Integrate LLMs (e.g., OpenAI, Anthropic) into scalable services using frameworks like LangChain, LangGraph, or similar

• Collaborate with cross-functional teams to ensure maintainability, observability, and performance in production systems

• Write clean, testable, and well-documented code for long-term scalability

Must-Have Skills

• 5+ years of experience as a backend or full-stack engineer (backend-focused)

• Strong proficiency in Python and API/service architecture

• Hands-on experience integrating LLMs into backend workflows

• Familiarity with LangChain, LangGraph, RAG pipelines, or similar frameworks

• Experience with production deployment, service scaling, and observability tools

• Clear communication skills and ability to thrive in distributed teams