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    Home/Jobs/Senior AI Engineer

    Senior AI Engineer

    Teradata

    Hyderabad
    3+ years
    Today
    ₹15–28 LPA
    Full-time
    Hybrid

    Skills Required

    Vector Database
    LLM
    RAG systems
    Embeddings
    Python
    Java
    vector search systems
    semantic search
    relevance ranking
    distributed systems
    analytics platforms

    Description

    Teradata is looking for a Senior AI Engineer to play a key role in designing and building Teradata’s vector store and retrieval infrastructure, powering RAG, multimodal AI, agentic workflows, and semantic search at enterprise scale.

    Company: Teradata

    Role: Senior AI Engineer

    Location: Hyderabad, Telangana, India (Hybrid, Full-time)

    Experience:

    • 3+ years of software engineering experience with a strong focus on backend systems
    • Hands-on experience with vector databases or vector search systems
    • Practical experience building LLM-powered applications, especially RAG systems
    • Experience working with large-scale data and performance-sensitive systems

    Key Skills:

    • Python
    • Java
    • vector databases
    • vector search systems
    • LLM-powered applications
    • RAG systems
    • embeddings
    • similarity search
    • data chunking
    • context optimization
    • dense vs sparse vs hybrid retrieval
    • semantic search
    • relevance ranking

    Qualification:

    • BS/MS/PhD in Computer Science, AI/ML, or a related field

    Role Focus:

    • Design and implement vector store capabilities integrated with Teradata’s analytics platform
    • Build end-to-end RAG pipelines
    • Develop and optimize semantic search algorithms and ranking strategies for enterprise workloads
    • Enable multimodal RAG (text, structured data, images, etc.) and agent-based workflows
    • Design agentic AI patterns
    • Implement guardrails for safety, reliability, and governance
    • Build and maintain RAG evaluation frameworks
    • Collaborate with product, research, and platform teams to translate customer use cases into scalable features
    • Benchmark Teradata’s vector store and RAG capabilities against industry alternatives

    Nice to have:

    • Experience with multimodal embeddings and retrieval
    • Familiarity with agent frameworks (e.g., LangChain, LangGraph, or equivalent)
    • Experience implementing AI guardrails and evaluation frameworks
    • Exposure to cloud platforms (AWS, Azure, or GCP)
    • Experience with distributed systems or analytics platforms

    Other:

    • Flexible work model
    • People-first culture
    • Well-being focused
    • Anti-racist company
    • Diversity, Equity, and Inclusion commitment
    • Equal opportunity and affirmative action employer

    Prepare for this role

    Recommended resources to build the skills for this position. Sponsored.

    Python for Everybody Specialization

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    Learn Python from scratch — variables, data structures, web scraping, and databases.

    Python 3 Programming Specialization

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    Intermediate Python covering classes, inheritance, APIs, and data processing.

    Generative AI with Large Language Models

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    Comprehensive LLM course covering transformer architecture, fine-tuning, RLHF, and deployment.

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