Generative AI Engineer (LLM, RAG, LangChain, AWS)

GenAI / AI-ML Engineer

Location: Gurugram (Hybrid)

Employment Type: Full-Time

Experience: 4–6 Years

Budget: 18-20 LPA (MAX)

Noida/NCR Local Candidates Only

Immediate Joiners Only (Serving Notice)

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

Application Question(s):

• How many years of total professional experience do you have in AI/ML Engineering?
• How many years of hands-on experience do you have working on Generative AI or LLM-based projects in a production environment?
• What is your current annual CTC and Expected Annual CTC?
• Notice period

Work Location: In person