Senior Python Developer – LLM Agent Development (Remote, Contract)

Experience Required: 5+ Years

Location: Remote

Employment Type: Contract

Compensation: Up to ₹1,70,000 per month

About The Role

We are looking for a Senior Python Developer (LLM Agent Development) with deep expertise in Large Language Models (LLMs), backend development, and agent orchestration frameworks. This is a hands-on engineering role focused on building production-grade AI systems, not a data science, analytics, or annotation role.

You will be working on cutting-edge AI projects that involve building intelligent agents, integrating LLMs into real-world systems, and designing scalable backend architectures. This is an excellent opportunity for engineers who want to work on advanced LLM pipelines, including LangChain, LangGraph, RAG pipelines, and agent frameworks.

Key Responsibilities

• Design, build, and maintain high-performance backend systems using Python.
• Develop and optimize LLM-powered applications with focus on agent orchestration, workflow management, and system reliability.
• Integrate LangChain, LangGraph, Retrieval-Augmented Generation (RAG) pipelines, and other agent frameworks into scalable production environments.
• Collaborate with cross-functional teams to ensure system stability, scalability, and maintainability.
• Build secure, efficient, and well-documented APIs that integrate with LLM services.
• Troubleshoot, optimize, and scale LLM-driven systems for performance and cost efficiency.
  
  

Required Skills & Qualifications

• 5+ years of professional experience as a backend or full-stack engineer with a strong backend focus.
• Expert-level Python programming skills.
• Proven experience integrating Large Language Models (LLMs) into production systems.
• Hands-on experience with:
• LangChain
• LangGraph
• RAG Pipelines
• Agent Frameworks
• Strong understanding of API design, microservices architecture, and production deployment workflows.
• Solid experience with cloud platforms, containerization (Docker, Kubernetes), and CI/CD pipelines.
• Background in Machine Learning Engineering is a strong plus.
• Excellent problem-solving and debugging skills.
• Ability to work independently and deliver high-quality work on time.
  
  

Nice To Have (Bonus Skills)

• Experience working with vector databases (Pinecone, FAISS, Weaviate, etc.)
• Familiarity with prompt engineering and LLM fine-tuning.
• Experience in serverless architecture and event-driven systems.
• Exposure to multi-modal AI systems (text, image, audio).
  
  

Why Work with AquSag Technologies?

• 100% remote work – flexible location.
• Work on cutting-edge AI projects with leading LLM companies.
• Join a fast-growing team at the forefront of AI integration and intelligent agent development.
• Potential for long-term contract extensions based on performance and project needs.
  
  

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Apply Now and be a part of building next-generation AI-powered systems!