Rajender Nagar Delhi Delhi Ai developer (llm & prompt specialist) Jobs – 10 Open Jobs Today

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- ₹30,000 - ₹40,000 a month
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AI Developer (LLM & Prompt Specialist)

OriginBluy
Delhi, Delhi

Quick apply

Job details

Permanent | Full-time
₹30,000 - ₹40,000 a month

Benefits

Internet reimbursement
Commuter assistance
Health insurance
Food provided

Qualifications

Azure
Node.js
Law
XML
Git
MongoDB
Master's degree
Databases
Docker
Machine learning
PostgreSQL
Deep learning
Redis
REST
GitHub
APIs
JSON
AI
Python

Full job description

AI Engineer — LLM Systems (Clinical AI)
Location: On-site — New Delhi · Full-time · Immediate joiners preferred

We're building OneRx — a clinical decision-support platform that gives doctors evidence-grounded answers, trial matches, drug & pricing data, and regulatory information, every claim backed by a citation they can trust at the point of care. It's regulated medical software, so our bar for correctness isn't "good enough for a demo" — a confidently wrong answer is a patient-safety problem, not just a quality miss.

We're looking for a hands-on AI Engineer to own LLM systems end-to-end: agentic pipelines, the Python backend, retrieval and grounding, and — critically — the prompt and eval layer where clinical reliability is won or lost. Build-from-scratch, high-ownership role on a lean founding team, working directly with the founder on architecture and product.

What you'll do

Design multi-agent / multi-step pipelines in LangGraph
Write production Python — FastAPI services, REST APIs, background workers, streaming (SSE) paths
Build and harden RAG over messy real-world clinical sources
Own prompt engineering as a core discipline — system prompts, few-shot, CoT, structured JSON/XML outputs — designed, versioned, and tested
Build the eval harness that keeps it honest — ground-truth sets, regression suites, shadow-mode before enforcement, accuracy scorecards
Drive down hallucination so every clinical claim is grounded — including knowing when to refuse or block an answer rather than fill a gap
Route across providers for the right cost/latency/quality per task
Engineer for determinism and cost — correct cache keys, token budgets, latency targets
Containerize and ship with Docker on Azure

Must-haves

Strong prompt engineering — hands-on command of system-prompt design, few-shot, CoT, structured outputs, prompt versioning, and an eval-driven workflow (promptfoo, LangSmith, or your own). This is the core of the role, not a bonus.
Strong, production-grade Python — clean services, not notebooks
LangGraph / LangChain — you've actually built agentic, multi-node pipelines
RAG in practice — vector DBs (Pinecone / FAISS / Qdrant), retrieval, grounding, and getting citations right on imperfect sources
FastAPI + REST API development
LLM APIs — Anthropic, OpenAI / Azure OpenAI, Hugging Face
Docker and containerized deployment

Nice to have

vLLM or other serving frameworks; streaming (SSE/WebSockets)
Postgres / MongoDB / Redis in production
MLOps / observability tooling
Experience in a domain where being wrong has real consequences and outputs must be auditable (healthcare, fintech, legal)

You'll fit if you

Have 2–4 years building real AI/ML products (an exceptional 1-year portfolio counts)
Can show shipped LLM systems — agents, RAG, or assistants real users actually used, ideally on GitHub
Can show prompt craft: prompts, eval suites, or measurable quality gains
Design before you code, and care that the thing is correct, not just that it runs
Move fast from idea to working system and own ambiguity on a small team

Why join

Build a high-impact clinical AI product from the ground up, where quality genuinely matters
Direct line to the founder on architecture and product strategy
Lean, execution-focused team; high ownership, fast iteration

How to apply
Email resume + GitHub/portfolio to [email protected]
Subject: AI Engineer Application – [Your Name]

Job Types: Full-time, Permanent

Pay: ₹30,000.00 - ₹40,000.00 per month

Benefits:

Commuter assistance
Food provided
Health insurance
Internet reimbursement

Application Question(s):

minimum 2 year as an AI developer

Experience:

AI: 2 years (Required)
Machine learning: 1 year (Required)

Work Location: In person

Quick apply

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