Generative AI Engineer

Job Title: Generative AI Engineer (SSE), Technical Lead

Location: Noida Hybrid-3 days

Experience: 10–13 Years

contract - 6 month

Budget: 1 to 1.5LPM

Key Skills Required :

Generative AI application development (end-to-end)

Large Language Models (LLMs)

RAG (Retrieval-Augmented Generation)

LangChain

OpenAI SDK

AWS Bedrock & Bedrock Agents

CrewAI / AutoGen

Prompt Engineering

AI Agents

Vector Databases (Pinecone, Weaviate, Qdrant, Milvus, ChromaDB)

Python

Hugging Face, PyTorch/TensorFlow, Scikit-learn, Pandas, NumPy

LoRA / QLoRA

NLP fundamentals

MLOps for LLMs

CI/CD for AI applications

AWS Cloud

Responsibilities :

Build and deploy end-to-end Generative AI applications.

Design and implement LLM-based architectures, RAG pipelines, and AI agents.

Develop scalable, secure, and cost-efficient AI solutions.

Optimize prompts, embeddings, and LLM performance.

Collaborate with product, engineering, and business teams.

Implement testing, monitoring, and MLOps practices for GenAI.

Build POCs, conduct experiments, and stay updated with the latest AI trends.

Required Experience :

3–7 years of experience in Data Science/AI/ML.

Minimum 2+ years of hands-on experience with Generative AI applications.

Strong expertise in Python and modern AI/ML frameworks.

Experience with AWS (preferred) and cloud-based AI deployments.

Hands-on experience with AI coding assistants like GitHub Copilot, Cursor, or Amazon Q is a plus.

Good to Have :

Experience with React, Streamlit, or Gradio.

Azure OpenAI or Google Vertex AI.

Contributions to open-source GenAI projects.

* Experience with advanced LLM MLOps practices.

Pay: ₹100,000.00 - ₹150,000.00 per month

Work Location: In person