Python Developer & LLM Engineer (Remote)

Job Description
We’re an early-stage AI initiative building cutting-edge agent-based architectures, including LangChain , MCP (Multi-agent Coordination Protocol) , and A2A (Agent-to-Agent) frameworks.
We are looking for someone who is both a strong Python developer and has hands-on experience with LLM frameworks .

This role is not just about experimenting with prompts—it requires building production-grade systems, orchestrating LLMs with external tools, and integrating them into real-world applications.
This is a part-time remote position (10–30 hours/week) with flexible hours and the potential to transition into full-time as the initiative scales.

You’ll have the opportunity to work on end-to-end development of next-generation LLM stacks , contribute meaningfully from day one, and grow with the company.
What We’re Looking For
Proven Python development experience , including building, testing, and deploying production-ready applications
Strong experience with LLM frameworks (LangChain, LlamaIndex, OpenAI/Anthropic APIs, etc.)
Understanding of agent orchestration (MCP, A2A, JSON-RPC interfaces, etc.)
Solid software engineering fundamentals: version control (Git), debugging, unit/integration testing, and clean code practices
Ability to work independently with minimal supervision and communicate clearly with distributed teams
Passion for innovation and curiosity about the evolving LLM/AI ecosystem
Preferred / Nice-to-Have Skills
Experience with JavaScript/TypeScript backend frameworks (Node.js, Express, Next.js APIs)
Familiarity with Docker and cloud platforms (AWS, GCP, Azure)
Prior contributions to open-source AI/ML projects
Exposure to distributed systems or multi-agent frameworks
Knowledge of frontend frameworks (React, Next.js) for building dashboards or agent UIs
Compensation
Compensation is benchmarked to the equivalent of ₹5–10 Lakh per annum , translated into a flexible daily or hourly rate depending on engagement:
Approx.

₹2,000–₹5,000 per day
We’re flexible—please share your expectations
Interview Process
We move quickly with a streamlined process.

Expect discussions focused on your Python development background , your experience with LLM frameworks , and your ability to work independently and deliver production-ready code.