Title: AI Engineer – with knowledge of creating agents using frontier models

Locations: Bangalore / Pune

Key Requirements and Responsibilities

1. Design and develop AI/ML solutions

- Supervised learning
- Unsupervised learning
- Deep learning
- NLP
- Time-series forecasting
- Anomaly detection

1. Build Generative AI applications

- Large Language Models (LLMs)
- Prompt engineering
- Fine-tuning
- Retrieval-Augmented Generation (RAG)
- AI agent frameworks

1. Banking domain experience

- Experience working in the banking industry is required/preferred.

1. Develop end-to-end AI pipelines

- Data ingestion
- Data preprocessing
- Model training
- Deployment
- Monitoring
- Continuous improvement

1. Robust programming expertise

- Python
- SQL
- Scikit-learn
- TensorFlow
- PyTorch
- Hugging Face
- spaCy
- NLTK

1. Large-scale data ecosystem experience

- ETL processes
- Data lakes
- Data warehouses
- Streaming platforms
- Spark
- Databricks
- Microsoft Fabric

1. MLOps best practices

- CI/CD pipelines




- Model governance
- Explainability
- Monitoring
- Docker
- Kubernetes

1. Model deployment

- APIs
- Microservices
- Enterprise application integration

1. Cloud AI services

- Azure Machine Learning
- Amazon SageMaker
- Azure or AWS cloud platforms

1. Business collaboration

- Translate business requirements into scalable AI solutions
- Measure ROI and business value

1. AI innovation

- Reusable AI frameworks
- AI copilots
- Semantic models
- Knowledge graphs
- LangChain / Semantic Kernel orchestration
- Synthetic data techniques

Overall Assessment This role is aimed at a Senior AI Engineer / GenAI Engineer with expertise in:

- Generative AI and AI Agents
- RAG architecture
- Python and ML frameworks
- MLOps and cloud deployment
- Banking domain knowledge
- Azure/AWS ecosystems
- LangChain and Semantic Kernel

📌 Sr. Ai Engineer - 10+ Years - Immediate Joiner - Max 40 LPA (Bengaluru)
🏢 Tek Grove
📍 Bengaluru