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    Home/Jobs/Technical Lead - AI Engineering

    Technical Lead - AI Engineering

    Tavant

    Bengalore
    5-7 years
    Today
    ₹23–44 LPA
    Full-time
    Onsite

    Skills Required

    LLM
    RAG
    LangChain
    Python
    Django
    Flask
    FastAPI
    React
    JavaScript
    TypeScript
    Azure
    SQL
    CI/CD
    PostgreSQL

    Description

    We are seeking a Technical Lead – AI Engineering to lead the design, development, and operationalization of enterprise-grade AI and Generative AI solutions within our Advisory Product Pod.

    Company: Tavant

    Role: Technical Lead – AI Engineering

    Location: Bengaluru, Karnataka, India

    Experience:

    • 5 to 7 years

    Qualification:

    • B.E

    Role Focus:

    • Design and develop AI-enabled services and applications using Python (Django, Flask, FastAPI)
    • Build scalable backend services supporting LLM inference, agent orchestration, and AI workflows
    • Develop and integrate Generative AI solutions, prompt pipelines, and intelligent automation use cases
    • Build secure APIs and integration layers for enterprise AI application
    • Design and implement LLM-based agents and agentic workflows using LangChain and LangGraph
    • Integrate enterprise knowledge sources and external APIs into AI-driven workflows
    • Implement orchestration logic for tool usage, memory handling, and multi-step reasoning workflows
    • Develop backend-first AI applications with the ability to contribute to React.js-based UI components
    • Collaborate with frontend teams to enable end-to-end AI-enabled user experiences
    • Lead development teams in implementing AI solutions aligned to architectural standards
    • Conduct code reviews and enforce AI engineering and SDLC best practices
    • Mentor engineers on AI engineering, prompt engineering, and scalable backend development
    • Collaborate with architecture teams to translate solution designs into implementation
    • Implement AI solutions using Azure AI Services and Azure AI Foundry
    • Support model integration, deployment, and operationalization into production systems
    • Ensure adherence to governance, security, and compliance standards
    • Design and optimize data access patterns using SQL-based databases
    • Enable efficient data pipelines supporting AI inference and workflow orchestration

    Additional responsibilities:

    • Participate in Agile ceremonies and delivery planning
    • Drive CI/CD practices, automated testing, and deployment readiness
    • Support production stability and performance optimization

    Nice to have:

    • Knowledge management systems
    • Workflow automation
    • Professional services domain experience
    • Responsible Ai
    • Yes. ReactJs
    • FastAPI
    • Azure
    • SQL(Postgres)

    More skills:

    Generative AI, LLM Development, Agentic AI, REST APIs

    Other:

    • With more than 24 years of experience building innovative digital products and solutions, Tavant provides impactful results to its customers.
    • It has been the frontrunner in driving digital innovation and tech-enabled transformation across a wide range of industries, such as Fintech, Manufacturing, AgTech, Media & Entertainment, and Retail in North America, Europe, and Asia-Pacific.
    • Ours is a challenging workplace where teams are diverse, competitive, and continually searching for tomorrow's technology and brilliant minds to create it.
    • Furthermore, we do not focus just on what we do - we also care about how we do it.
    • So, bring your talent and ambition to make a difference.
    • We will create a world of opportunities for you.

    Prepare for this role

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

    Python for Everybody Specialization

    Coursera

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

    Python 3 Programming Specialization

    Coursera

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

    Generative AI with Large Language Models

    Coursera

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

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