Applied AI Engineer (Noida)

Applied AI Engineer (Noida)

12 Aug
|
Saas Labs
|
Noida

12 Aug

Saas Labs

Noida

Why this role exists
We're building AtomsAI
We need engineers who can take a scoped customer problem and ship a production-grade AI system end-to-end and then keep it working when real users, real data and real edge cases show up.
What you'll actually do
- Build RAG pipelines and agentic workflows end-to-end - retrieval, context assembly, tool use, guardrails, evaluation.
- Orchestrate LLM systems with LangChain / LlamaIndex / LangGraph (or equivalent) - and know when to drop the framework and write it yourself.
- Integrate across enterprise APIs, webhooks and comms platforms (CRMs, helpdesks, telephony, document systems).
- Debug production AI: latency, retrieval quality, drift, weird model behavior, flaky integrations. Own the pager when it matters.
- Contribute back to shared platform tooling - recipes, evals, connectors - so the next engagement is faster than this one.
- Work directly with customer engineering and ops stakeholders. You'll be in the room, not behind a ticket queue.

What we're looking for
- 4–6 years of software engineering experience,



with at least 2 years shipping LLM-powered systems in production (not just notebooks or demos).
- Strong hands-on RAG: vector stores (Pinecone, Weaviate, pgvector, Qdrant), embedding models, retrieval strategies and how to evaluate them honestly.
- Proficiency with LLM orchestration frameworks and the judgement to know their limits.
- Experience building agentic systems - tool use, multi-step reasoning, memory, guardrails - that survive contact with real users.
- Robust Python, comfort with REST, webhooks, async and queue-based systems.
- Prompt engineering as a craft, not a vibe - structured prompts, few-shot, CoT, versioning across environments.
- Ability to debug AI in production. Latency budgets, retrieval quality regressions, model-behavior changes - you've fought all three.
- Direct communication with technical and non-technical stakeholders.

Edges that help
- Hyper-growth or high-scale environments.
- Cloud

📌 Applied AI Engineer (Noida)
🏢 Saas Labs
📍 Noida

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