AI / ML Workflow Engineer

Role : AI Engineer

Experience : 1–3 years

Location :

Mumbai / Bengaluru / Gurgaon (Hybrid : 3 days / week in office)

Remote option for exceptional candidates.

About the Role

We’re building production-grade AI workflows and agentic applications that power real user experiences. As an AI Engineer, you’ll ship features end-to-end—from prompt design and evaluation to scalable backend integration—working closely with product and engineering.

What You’ll Do

• Design, build, and iterate LLM-powered workflows (retrieval, routing, tool use, function calling, multi-step agents).
• Implement agentic apps that plan, call tools / APIs, and maintain state across tasks.
• Build RAG pipelines : data ingestion, chunking, embeddings, indexing, and latency-optimized retrieval.
• Own prompt engineering & evaluation (A / B tests, guardrails, metrics like latency, cost, quality, safety).
• Productionize models / workflows with observability (traces, tokens, failures), cost controls, and fallbacks.
• Ship backend services and APIs (e.G., Python / FastAPI) integrating with data stores and vector DBs.
• Collaborate with PM / Design to translate requirements into reliable, user-facing features.

Must-Have Skills

building RESTful services, writing clean, tested code.

Nice-to-Have

streaming UIs.

improvement in answer quality scores.