Job Role-Artificial Intelligent Engineer Exp Range-6-12 years Location-Pune Interview mode-In person Interview Note: Interested candidates, please ensure that you are available to attend the in-person interview on 31st October at the Pune Quadra location. JD Must-Have*
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• GenAI, LLMs, Python
• API Development, Microservices Architecture, End-to-End Integrations
• Retrieval-Augmented Generation (RAG), CI/CD Pipelines
• Containerization (Docker/Kubernetes)
• GCP (BigQuery, Vertex AI, Dataflow, Pub/Sub, Redis, NoSQL Databases)
• Maintaining chat history, Auto Scaling (Prometheus, Dynatrace, LangSmith)
• Machine Learning, Deep Learning, TensorFlow, NLP
• PyCharm, Numpy, Pandas
• MySQL, PostgreSQL, NoSQL, RDBMS Design and Modelling
• GitHub, Jenkins
• Data Modelling, Data Wrangling, Data Extraction Good-to-Have
• Computer Vision problem solving, Advanced Pattern Matching
• PII Identification and Extraction
• Document Type Classifiers,



Standardized Form Matchers SN Responsibility of / Expectations from the Role
• Hands-on experience with GenAI, Gemini or Open Source LLMs; ability to train, finetune, and onboard recent LLMs
• Build GenAI applications using Python
• API Development and Microservices Architecture, End-to-End Integrations
• Knowledge of RAG, ADK, MCP
• Solid understanding of LLMs, prompt engineering, and graph-based workflows
• Experience with CI/CD pipelines, containerization (Docker/Kubernetes), Harness, and Git actions
• Build scalable data pipelines and workflows on GCP (BigQuery, Vertex AI, Dataflow, Pub/Sub, Redis, NoSQL Databases)
• Implement best practices for data governance, security, and MLOps on GCP
• Knowledge of API Gateways and ISTIO; ability to diagnose and intercept failures in end-to-end communication

📌 Artificial Intelligence Engineer (India)
🏢 Tata Consultancy Services
📍 India