Ai Ml Engineer

Nxtwave Disruptive Technologies(Hiring for a Client); Gurugram District; Hybrid; INR 1,500,000 - 2,100,000; Full time

Job summary

Nxtwave Disruptive Technologies (Hiring for a Client) is seeking an AI Engineer to design, develop, and deploy AI solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) and AI Agents in collaboration with cross-functional teams.

Responsibilities include building AI microservices with Python/FastAPI, developing RAG systems, and integrating Google Gen AI/OpenAI SDKs, while working with vector databases and MongoDB. Strong coding practices and teamwork are essential.

Qualifications

• Experience building AI microservices with Python and FastAPI.
• Strong knowledge of LLMs, embeddings, and retrieval pipelines.
• Familiarity with vector databases (Pinecone/Qdrant) and MongoDB.
• Understanding of data privacy and API security.

Responsibilities

• Build AI microservices using Python and FastAPI.
• Develop and optimise RAG systems.
• Integrate Google Generative AI SDK and OpenAI SDK.
• Work with vector databases and MongoDB.
• Write clean, scalable, maintainable code.
• Collaborate with engineering and product teams.
• Participate in design and code reviews.

Skills

Python

FastAPI

RAG

Embeddings

Retrieval pipelines

MongoDB

API security

Data privacy

Transformers

Google Gen AI SDK

OpenAI SDK

Pinecone

Qdrant

Tools

Docker

AWS

CI/CD

Redis

Node.js

Job description

Role

Design, develop and deploy AI solutions using Large Language Models (LLMs),

Retrieval-Augmented Generation (RAG) and AI Agents while collaborating with cross-functional

teams.

Key Responsibilities

• Build AI microservices using Python and FastAPI.
• Develop and optimise RAG systems.
• Integrate Google Generative AI SDK and OpenAI SDK.
• Work with vector databases and MongoDB.
• Write clean, scalable, maintainable code.
• Collaborate with engineering and product teams.
• Participate in design and code reviews.

Required Skills:

• Python, FastAPI/Flask, RAG, embeddings, chunking, retrieval pipelines, Google Gen AI SDK,OpenAI SDK, Transformers, CNN, KNN, Pinecone/Qdrant, MongoDB, API security, authentication,data privacy.

Preferred Skills

• LangChain, LlamaIndex, multimodal models, fine-tuning, hybrid retrieval, Docker, AWS, CI/CD,Redis, Node.js.

Soft Skills

• Problem solving, ownership, collaboration, communication, fast learner, product mindset.