This is a high-ownership “do whatever it takes” role for someone who wants to operate at founder speed, learn the full stack of an insurance/warranty business, and ship work that directly moves revenue, conversion, and retention.

Company: SureBright

Role: AI Engineer (Agentic Systems)

Location: Gurugram, HR, IN / Gurugram, Haryana, IN / DL, IN / Delhi, IN

Experience:

1+ years building and shipping ML/LLM systems in production (or equivalent founder-level experience)
Proven experience building agentic products/companies: multi-step workflows, tool use, orchestration, reliability engineering

Key Skills:

Machine Learning
Machine learning
RAG and retrieval systems (vector databases, reranking, grounding strategies)
LLM evals (golden sets, automated judging, human eval, regression pipelines)
Prompting and structured outputs (schemas, function/tool calling, robustness)
Model training/fine-tuning fundamentals and tradeoffs (when to tune vs prompt vs retrieve)
Strong software engineering: clean APIs, testing, observability, performance tuning, secure-by-default design

Role Focus:

Design and ship production-grade AI agents that run real business processes (not demos)
Build agentic architectures: orchestration, tool calling, state machines, memory, permissions, audit trails, human-in-the-loop, and fallback paths
Own our RAG platform end-to-end: ingestion, chunking, embeddings, retrieval, reranking, citations/grounding, and hallucination mitigation
Build evaluation and monitoring systems: offline eval sets, regression tests, online metrics, drift detection, and red-team suites
Implement model optimization: prompt systems, structured outputs, fine-tuning where appropriate, latency/cost optimization, caching, and throughput tuning
Build core ML systems for warranty/claims: document understanding, extraction, classification, anomaly/fraud signals, decision support, and SLA routing
Partner tightly with product/ops to translate real workflows into deterministic, testable, compliant automation

Nice to have:

Experience building systems with compliance/audit requirements (fintech/insurance/health/enterprise)
Experience with document AI at scale (PDFs, images, messy inputs), and extracting structured truth reliably
Experience designing human-in-the-loop workflows and escalation rules for high-stakes decisions
Experience with infra for LLMs: model hosting, batching, streaming, caching, prompt/version management
Startup or ex-founder background, especially shipping 0→1 products fast

Other:

₹1.5M - ₹3M INR salary
Full-time job type
US citizenship/visa not required
Cloud-native tech environment with Python, TypeScript, Postgres, event-driven services, and a modern LLM + retrieval stack with strong observability and CI/CD
Direct founder exposure and high leverage
Real breadth: growth + underwriting/claims ops + product, in one seat
Career accelerant: if you perform, your scope and title will grow quickly

AI Engineer (Agentic Systems)

Skills Required

Description

Experience:

Key Skills:

Role Focus:

Nice to have:

Other:

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