GenAI / AI-ML Engineer

Location: Gurugram (Hybrid)

Employment Type: Full-Time

Experience: 4–6 Years

Budget: 20 LPA (Versatile)

Preference: Noida/NCR Local Candidates Only

Key Responsibilities

- Design, develop, and deploy scalable AI/ML and Generative AI solutions.
- Build and optimize RAG (Retrieval-Augmented Generation) pipelines using modern frameworks and vector databases.
- Develop LLM-powered applications leveraging prompt engineering, AI agents, and multi-agent workflows.
- Fine-tune, evaluate, and monitor machine learning and deep learning models.
- Build REST APIs and backend services for AI applications.
- Design data preprocessing, feature engineering, and model evaluation pipelines.
- Integrate structured and unstructured data sources to deliver contextual AI solutions.
- Collaborate with cross-functional teams including Data Engineering, DevOps, and Product teams.
- Ensure scalability, reliability, and performance of AI applications in production environments.

Programming & Development
- Strong hands-on experience in Python and SQL.
- Experience building APIs using FastAPI or similar frameworks.




- Strong understanding of software engineering best practices and Agile methodologies.

Machine Learning & Deep Learning
- Hands-on experience with:
- Scikit-learn

- TensorFlow

- PyTorch

- Keras

- Strong understanding of

- Regression

- Classification

- Clustering

- Feature Engineering

- Model Evaluation

- Hyperparameter Tuning

NLP & Generative AI
- Minimum 1+ year of hands-on experience in GenAI/LLM projects.

- Experience with

- Large Language Models (LLMs)

- Prompt Engineering

- RAG Architectures
- Agentic AI / Multi-Agent Systems

- LangChain

- LangGraph

- OpenAI APIs

- Hugging Face

- LangSmith

RAG & Vector Databases
- Experience working with:

- Pinecone

- FAISS
- Knowledge of embedding models and semantic search architectures.
- Experience with RAG evaluation metrics such as RAGAS, BLEU, and ROUGE.

Cloud & DevOps
- Hands-on experience with AWS services:

- EC2
- S3

- SageMaker

- Bedrock
- Experience with Docker, Git, JIRA, and CI/CD practices.

Pay: Up to ₹2,000,000.00 per year

Work Location: In person

📌 GenAI / AI-ML Engineer (Gurugram)
🏢 IAT Networks
📍 Gurugram