Experience level: 3–5 years
Location: [Hybrid –Bangalore]
Primary Skills - Java Full Stack and AI Automation
Role Summary
We are looking for an AI Automation Engineer to design, build, and operate AI-powered automations that remove manual effort from business and engineering workflows. This is a hands-on build role: you will take ambiguous, human-in-the-loop processes and turn them into reliable, monitored, production-grade automations using LLMs, agentic frameworks, APIs, and workflow orchestration tools.
You will work closely with process owners, data engineers, and platform teams to identify high-value automation candidates, prototype quickly, and harden what works into supportable services.
Key Responsibilities
• Build and deploy end-to-end AI automations and agentic workflows that integrate LLMs with internal systems, APIs, and data sources.
• Design and implement RAG (retrieval-augmented generation) pipelines: chunking, embedding, vector search, re-ranking, and grounded response generation.




• Develop tool- and function-calling integrations so agents can act on systems of record (ticketing, ERP, document stores, internal APIs), including building MCP servers to expose internal systems as agent tools.
• Partner with business stakeholders to map current-state processes, quantify manual effort, and prioritize an automation backlog by ROI and feasibility.
• Write production Python services and jobs — API clients, data transformations, schedulers, event-driven handlers — with proper logging, retries, and error handling.
• Build prompt and model evaluation harnesses: golden datasets, regression tests, accuracy and hallucination checks, and pre-deployment quality gates.
• Instrument automations with observability and tracing so failures, cost spikes, latency regressions, and quality drift are detected early.
• Implement human-in-the-loop checkpoints, approval steps, and secure fallbacks for workflows where full autonomy is inappropriate.
• Optimize for cost and latency

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