Sr Engineer - AI COE

Job Title: Sr Engineer - AI COE Company: Tata Communications Job Category: Machine Learning Roles & Responsibilities: Role Summary We are hiring a Sr. Engineer (2\+ years) for the AI CoE to build and deploy Generative AI, RAG, Agentic AI, and Machine Learning solutions. This role combines LLM\-driven applications with strong ML fundamentals, supporting scalable and monetizable AI products for telecom and enterprise use cases. Key Responsibilities * Build and deploy LLM\-based applications, RAG, and Agentic RAG systems * Develop multi\-agent workflows using tools like LangChain, LlamaIndex, LangGraph, Azure, and AWS Bedrock * Integrate MCP tools, APIs, and function\-calling into AI systems * Design prompting strategies, embeddings, and vector search pipelines using Milvus / FAISS / Pinecone * Implement structured output generation for LLM responses (JSON/schema\-driven outputs) * Apply machine learning techniques (classification, clustering, predictive modeling) for telecom and enterprise use cases * Perform data preprocessing, feature engineering, and model evaluation * Optimize solutions for performance, scalability, cost, and latency * Develop backend APIs using FastAPI for serving AI/ML models * Containerize applications using Docker for scalable deployment * Implement monitoring, logging, and observability using Grafana and ELK stack * Enable LLM traceability and observability using Langfuse etc. * Collaborate with product and engineering teams to deliver production\-grade AI solutions Additional Note Role involves hands\-on Python coding and system design assessments, covering machine learning fundamentals, model building, RAG, LLMs, agent\-based applications, LangGraph workflows , API development, and production deployment considerations (Docker, monitoring, traceability). Work Location: Bengaluru, Karnataka, India Availability: Full time

Required Skills: * 2\+ years of experience in Data Science / AI / Machine Learning /Gen AI * Excellent proficiency in Python and working knowledge of SQL (PostgreSQL preferred) * Hands\-on experience with Machine Learning algorithms and model development * Strong understanding of ML concepts: supervised/unsupervised learning, feature engineering, model evaluation, bias\-variance tradeoff * Hands\-on experience with LLMs, Generative AI, RAG architectures, and Agentic workflows * Experience with LangChain / LlamaIndex / LangGraph / vector databases (Milvus, FAISS, Pinecone) * Experience building APIs using FastAPI * Understanding of structured output handling in LLMs * Solid foundation in statistics and data analysis Key Skills: Machine Learning, Python, Feature Engineering Salary: Not disclosed