Python Developer – Intelligent Agents (3 Months Contract)

8 years

0 Lacs

Posted:2 days ago| Platform: Linkedin logo

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Work Mode

Remote

Job Type

Contractual

Job Description

Work Type: Contractor | Permanent RemoteExperience Required: 5 – 8 YearsContract Duration: 3 MonthsNotice 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

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