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):

- Are you based in Noida/NCR and available as an immediate joiner (or currently serving your notice period)?
- Do you have at least 1 year of hands-on experience building GenAI applications using LangChain, LangGraph, or multi-agent workflows?
- Which vector databases and RAG evaluation tools have you used in production (e.g., Pinecone, FAISS, RAGAS)?
- How many years of experience do you have building production REST APIs using FastAPI in Python?

Work Location: In person

📌 AI/ML Engineer (India)
🏢 Tasknera
📍 India