Title: AI Engineer – with knowledge of creating agents using frontier models Locations: Bangalore / Pune Key Requirements and Responsibilities
• Design and develop AI/ML solutions
• Supervised learning
• Unsupervised learning
• Deep learning
• NLP
• Time-series forecasting
• Anomaly detection
• Build Generative AI applications
• Large Language Models (LLMs)
• Prompt engineering
• Fine-tuning
• Retrieval-Augmented Generation (RAG)
• AI agent frameworks
• Banking domain experience
• Experience working in the banking industry is required/preferred.
• Develop end-to-end AI pipelines
• Data ingestion
• Data preprocessing
• Model training
• Deployment
• Monitoring
• Continuous improvement
• Solid programming expertise
• Python
• SQL
• Scikit-learn
• TensorFlow
• PyTorch
• Hugging Face
• spaCy
• NLTK
• Large-scale data ecosystem experience
• ETL processes
• Data lakes
• Data warehouses
• Streaming platforms
• Spark
• Databricks
• Microsoft Fabric
• MLOps best practices




• CI/CD pipelines
• Model governance
• Explainability
• Monitoring
• Docker
• Kubernetes
• Model deployment
• APIs
• Microservices
• Enterprise application integration
• Cloud AI services
• Azure Machine Learning
• Amazon SageMaker
• Azure or AWS cloud platforms
• Business collaboration
• Translate business requirements into scalable AI solutions
• Measure ROI and business value
• 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 (Bengaluru)
🏢 Tek Grove
📍 Bengaluru