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    Home/Jobs/Agentic AI Engineer

    Agentic AI Engineer

    Infosys Limited

    Bengaluru
    7-10 years
    Today
    ₹23–44 LPA
    Full-time
    Onsite

    Skills Required

    Gen AI
    LLM
    LangChain
    Prompt Engineering
    Fine-tuning
    AutoGen
    CrewAI
    reinforcement learning
    reasoning algorithms
    planning systems
    API Integration
    multi-agent systems
    distributed systems
    scalable architectures
    Python

    Description

    Seeking an Agentic AI Engineer to design and implement advanced AI systems leveraging large language models and multi-agent architectures.

    Company: Infosys Limited

    Role: Agentic AI Engineer

    Location: BANGALORE

    Experience:

    • 7 - 10 Years
    • 6–10 years of experience in AI/ML engineering
    • At least 2+ years in building agentic AI systems or LLM-based applications

    Key Skills:

    • Python
    • AI/ML frameworks
    • LLMs
    • Prompt engineering
    • Fine-tuning techniques
    • Agentic frameworks (LangChain, AutoGen, CrewAI, or similar)
    • Reinforcement learning
    • Reasoning algorithms
    • Planning systems
    • API integration
    • Tool augmentation
    • GenAI-powered solutions
    • Multi-modal models
    • Distributed systems
    • Scalable architectures

    Qualification:

    • Bachelor of Engineering
    • Bachelor Of Technology
    • BSc
    • BCA
    • Master Of Engineering
    • Master Of Technology
    • MSc
    • MCA

    Role Focus:

    • Design and implement agentic architectures leveraging LLMs and reasoning engines
    • Develop multi-agent systems for task orchestration and collaboration
    • Integrate external tools, APIs, and knowledge bases for agent augmentation
    • Optimize agent performance for autonomy, adaptability, and safety
    • Collaborate with product teams to embed agentic AI into business applications
    • Research and prototype advanced capabilities like memory, planning, and self-improvement

    Nice to have:

    • Hands-on experience with GenAI-powered solutions and multi-modal models
    • Background in distributed systems and scalable architectures
    • Ability to work in fast-paced, research-driven environments

    Other:

    • Strong grasp of ethical AI principles and safety mechanisms

    Prepare for this role

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

    Python 3 Programming Specialization

    Coursera

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

    Python for Everybody Specialization

    Coursera

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

    Generative AI with Large Language Models

    Coursera

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

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