AI Engineer — Full Stack & Agentic Systems (Night Shift)

Role Overview

We're looking for an engineer who is genuinely fluent with today's AI platforms — not just an occasional ChatGPT user, but someone who builds with them. You'll design, ship and babysit AI agents and the applications around them: writing the Python that powers them, building the interfaces people actually use, and debugging the strange failures that only show up in production at 3 AM. This is a night shift position (9:00 PM – 6:00 AM IST) to overlap with US/EU clients, offering real ownership and autonomy.

Responsibilities

• Build, deploy and maintain AI agents and LLM-powered features end to end — prompting, tool/function calling, retrieval, evaluation, and guardrails
• Write clean, production-grade Python for backend services, data pipelines and agent orchestration
• Develop full stack features: APIs on the backend, responsive interfaces on the frontend
• Integrate third-party AI platforms and APIs (Claude, OpenAI, open-source models)
• Use AI coding assistants (Claude Code, Cursor, Copilot) to move fast
• Monitor systems during the night window, triage incidents, and resolve or escalate with clear handover notes
• Prototype quickly, measure, and iterate as requirements and models change
• Document what you build for seamless day-shift handovers

Requirements

• Strong Python proficiency
• Hands-on experience with AI platforms and LLM APIs: prompt design, function/tool calling, RAG, embeddings, vector stores
• Working knowledge of AI agent frameworks and AI coding agents
• Full stack capability: REST APIs, databases, and a modern frontend framework (React, Next.js, or Vue)
• Git, Docker, and comfort with cloud deployment (AWS, GCP, or Azure)
• Genuine problem-solving instinct and adaptability
• Willingness and ability to commit to a permanent night shift schedule
• Clear written English for asynchronous communication

Skills

• Python
• React.js
• AWS
• Docker
• LLM APIs

Nice to Have

• Experience with agent orchestration frameworks (LangChain, LangGraph, CrewAI, MCP)
• Evaluation and observability for LLM systems (tracing, eval harnesses, cost/latency tuning)
• Fine-tuning, model serving, or working with open-weight models
• CI/CD, testing discipline, and basic security awareness for AI systems
• Prior experience working a night or on-call shift for an international team