GenAI / AI-ML Engineer
Location: Gurugram (Hybrid)
Employment Type: Full-Time
Experience: 4–6 Years
Budget: 20 LPA (Flexible)
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:
NLP & Generative AI
- Minimum 1+ year of hands-on experience in GenAI/LLM projects.
- Large Language Models (LLMs)
- Agentic AI / Multi-Agent Systems
RAG & Vector Databases
- 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:
- Experience with Docker, Git, JIRA, and CI/CD practices.
Pay: Up to ₹2,000,000.00 per year
Work Location: In person
