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Location
In office (Chennai)
Experience
4+ years exp

First seen by Alion on Nov 12, 2026.

Overview
Company
Impact
Profile match
Tata Communications is an Indian digital infrastructure company that operates a global network. It provides subsea cable capacity, cloud connectivity, IoT and collaboration services. The company carries a significant share of world internet traffic.

We are looking for a passionate AI Engineer with 4-6 years of experience to design, develop, and deploy enterprise-grade AI solutions leveraging Generative AI, Agentic AI, LLMs, Machine Learning, and Cloud Technologies. The candidate should have hands-on experience building AI agents, copilots, RAG-based applications, and scalable AI platforms.


Key Responsibilities:

  • Design, build, and deploy AI/GenAI solutions for enterprise use cases.
  • Develop AI agents, copilots, and RAG-based applications using modern LLM frameworks.
  • Integrate AI solutions with enterprise applications, APIs, databases, and cloud services.
  • Implement prompt engineering, model evaluation, guardrails, and responsible AI practices.
  • Build scalable data pipelines, vector search, and knowledge retrieval systems.
  • Optimize AI solution performance, scalability, and operational costs.
  • Collaborate with business, product, and engineering teams to translate requirements into AI solutions.
  • Stay updated with emerging AI technologies and drive innovation initiatives.


Required Skills:

  • Programming: Python, SQL, REST APIs
  • GenAI & LLMs: OpenAI/Azure OpenAI, Prompt Engineering, RAG, AI Agents
  • Frameworks: LangChain, LangGraph, LlamaIndex, Semantic Kernel
  • Databases: PostgreSQL/MySQL, MongoDB, Vector DBs (Pinecone, FAISS, ChromaDB, Weaviate)
  • Cloud: Microsoft Azure (preferred), Azure AI Foundry, Azure AI Search, Azure ML
  • DevOps: Git, Docker, Kubernetes, CI/CD, Linux
  • Strong problem-solving, communication, and stakeholder management skills.


Preferred Skills:

  • Multi-Agent Systems, Agent Orchestration
  • MCP (Model Context Protocol)
  • Conversational AI, Chatbots, Copilot Development
  • MLOps / LLMOps
  • Enterprise Security, Authentication & Authorization


Minimum Qualification:

  • BE/B.Tech in Computer Science (CSE), Information Technology (IT), or Electronics & Communication Engineering (ECE) from a reputed institution.
  • 4-6 years of software engineering experience, with at least 3+ years in AI/ML or Generative AI development.

Skills

Azure, Azure OpenAI, Docker, Kubernetes, LLM, LLMs, LangChain, OpenAI, Python, RAG, SQL

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