Work Type: Contractor | Permanent Remote
Experience Required: 5 – 8 Years
Contract Duration: 3 Months
Notice Period: Max 2 week
Skills-Python, API Development, LLM Integration, LangChain, RAG Pipelines, Docker, Git, Service Architecture, Unit Testing, Cloud Deployment
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