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** •

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 current 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 (Maharashtra)
🏢 Tata Consultancy Services
📍 Maharashtra