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Infosys Linkedin · Posted 7d ago

Agentic AI Engineer

India

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Indexed description

  • Strong Python programming with hands-on AI/ML framework experience.
  • Working knowledge of LLMs, prompt engineering, and basic fine-tuning (LoRA/QLoRA).
  • Practical experience with agentic frameworks such as LangChain, AutoGen, or CrewAI.
  • Experience with API integration and tool-augmented agent development.
  • Understanding of responsible AI, safety guardrails, and LLM evaluation strategies.
  • Familiarity with vector stores, retrieval systems, and RAG architectures
  • Design and implement production-grade agentic architectures leveraging LLMs and reasoning engines.
  • Build and optimise multi-agent systems for complex task orchestration and collaboration.
  • Integrate external tools, APIs, and knowledge bases for robust agent augmentation.
  • Tune agent performance for autonomy, adaptability, reliability, and safety.
  • Embed agentic AI into enterprise workflows in collaboration with product teams.
  • Prototype advanced capabilities: persistent memory, goal planning, and self-correction loops.
  • Contribute to code reviews, technical documentation, and team best practices.

Good to Have

  • Exposure to MLOps practices — experiment tracking, model versioning (MLflow, DVC).
  • Knowledge of distributed systems and scalable backend architectures.
  • Experience with cloud AI services on Azure, AWS, or GCP.
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