Job Title: Senior AI Engineer (LLM / Generative AI)

Experience: 810 Years

Location: New Delhi (On-site)

Employment Type: Full-time

Job Summary

We are seeking an experienced Senior AI Engineer with 8–10 years of software engineering experience and strong expertise in Generative AI, Large Language Models (LLMs), AI Solution Architecture, and enterprise-grade AI application development. The ideal candidate will have a proven track record of designing, building, and deploying scalable AI solutions for production environments.

Key Responsibilities

Design and architect enterprise-grade AI solutions using LLMs and Generative AI technologies.

Build scalable AI Wrappers, AI Engines, and intelligent automation solutions.

Design and implement RAG (Retrieval-Augmented Generation) pipelines.

Develop and optimize AI Agents for complex business workflows.

Design and integrate Vector Database solutions (Pinecone, FAISS, ChromaDB, Weaviate, etc.).

Build production-ready AI applications using OpenAI, Gemini, Claude, and other LLM APIs.

Lead AI solution architecture discussions and mentor development teams.

Optimize model performance, prompt engineering, latency, scalability, and cost.

Develop REST APIs and microservices using FastAPI or similar frameworks.

Collaborate with product, engineering, and business teams to deliver high-quality AI solutions.

Required Skills

8–10 years of software development experience.

Strong expertise in Large Language Models (LLMs).





Generative AI

AI Solution Architecture

AI Wrappers

AI Engine Development

Prompt Engineering

RAG (Retrieval-Augmented Generation)

Vector Databases (Pinecone, ChromaDB, FAISS, Weaviate)

LangChain

LangGraph

Python

FastAPI / Flask

REST APIs

Docker & Git

Machine Learning & NLP

Experience with OpenAI, Gemini, Claude, or similar AI platforms.

Solid understanding of scalable system design and cloud deployment (AWS, Azure, or GCP).

Preferred Qualifications

Experience delivering production-grade AI applications.

Hands-on experience building enterprise AI platforms.

Experience leading AI architecture and mentoring engineering teams.

Knowledge of MLOps, CI/CD, Kubernetes, and AI deployment best practices is a plus.

Education

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Information Technology, or a related field.

Screening Questions

Do you have 8–10 years of software engineering experience?

Have you built production-grade applications using LLMs?

Have you implemented RAG pipelines?

Which Vector Databases have you worked with?

Do you have experience in AI Solution Architecture?

Have you developed AI Agents using LangChain or LangGraph?

Have you deployed enterprise AI applications to production?

This version is suitable for attracting Senior AI Engineers / AI Solution Architects with significant enterprise AI experience.

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