AI Developer (LLM Specialist)

AI Engineer

Location: On-Site — Delhi, India Type: Full-time | Immediate Joiners Preferred

We're building a next-gen AI product that personalizes conversations at scale using Large Language Models. We're looking for a hands-on AI Engineer who can own LLM systems end-to-end — from designing agentic pipelines and writing the Python backend to engineering the prompts and evals that make the output reliable.

This is a build-from-scratch role. You should be comfortable across the whole stack: orchestration, retrieval, serving, and — critically — the prompt layer where most of the product's quality is won or lost.

What You'll Do

Design and build agentic / multi-step LLM pipelines using LangGraph (or LangChain)

Write production Python backends — FastAPI services, REST APIs, background workers

Build and optimize RAG pipelines: retrieval, grounding, citation, context shaping

Own prompt engineering as a core discipline — design, test, and version production prompts (system prompts, few-shot, chain-of-thought, structured JSON/XML outputs) and build the evals that keep them reliable

Systematically reduce hallucination and improve grounded, citation-backed outputs

Integrate vLLM, OpenAI, Anthropic, or open-source models for fast inference

Containerize and deploy services with Docker

Optimize latency, token usage, cost, and response quality

Stay current with Generative AI & MLOps developments

Key Skills We're Looking For

Strong prompt engineering — deep, hands-on command of few-shot, chain-of-thought, system-prompt design, structured outputs, prompt versioning, and an eval-driven approach (promptfoo, LangSmith, or custom). This is a must-have, not a bonus.

Strong Python — clean, production-grade, not just notebooks

LangGraph / LangChain — hands-on experience building agentic or multi-node pipelines

LLM APIs — OpenAI, Anthropic, Hugging Face, Cohere

RAG — vector databases (Pinecone, FAISS, Qdrant), retrieval and grounding

FastAPI + REST API development

Docker and containerized deployments

Bonus: vLLM or other model-serving frameworks, streaming (SSE/WebSockets), MLOps tooling

Ideal Profile

2–4 years building AI/ML products (strong 1-year candidates with an exceptional portfolio considered)

Proven projects or GitHub showing real LLM systems — agents, RAG, or chatbots that actually shipped

A portfolio that demonstrates prompt craft: prompts, eval suites, or measurable quality improvements

Curious, self-driven, and fast at turning ideas into working systems

Excited to build AI that solves real business problems

Why Join Us?

Build from scratch in a high-impact B2B AI product

Work directly with leadership & product strategy

Lean, execution-focused founding team

Flexible setup, high ownership, fast iterations

How to Apply Send your resume and GitHub/portfolio to akshit.kaushik@originbluy.com Subject line: AI Engineer Application – [Your Name]

Job Types: Full-time, Permanent

Pay: ₹20,000.00 - ₹25,000.00 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