AI Agent Development Engineer

0 - 5 years

2 - 7 Lacs

Posted:3 weeks ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

About the Role:

AI Agent Development Engineer

AI agent architecture

Key Responsibilities:

  • Design, develop, and deploy autonomous AI agents for real-world task automation and decision-making and orchestration.
  • Integrate and fine-tune LLMs (Large Language Models) for goal-oriented, tool-using agents.
  • Implement memory-augmented reasoning, retrieval-augmented generation (RAG), and multi-agent coordination.
  • Work with vector databases to store and retrieve contextual memory and knowledge.
  • Optimize agent performance using Reinforcement Learning frameworks and human feedback.
  • Collaborate with cross-functional teams to integrate AI agents into applications and services.
  • Monitor, test, and maintain AI pipelines in production environments.

Required Skills & Experience:

  • Strong programming skills in

    Python

    (C# or R is a plus).
  • Proven experience in building and deploying

    AI agents

    or

    LLM-based applications

    .
  • Hands-on expertise in:
    • AI Agent Frameworks:

      LangChain, AutoGPT, BabyAGI, CrewAI, AgentGPT
    • LLMs & Generative AI:

      OpenAI (GPT-3.5/4), Hugging Face Transformers, Anthropic Claude, Cohere
    • Vector Search & Memory:

      Pinecone, FAISS, ChromaDB, Weaviate
    • Reinforcement Learning:

      OpenAI Gym, Stable-Baselines3, Ray RLlib
    • NLP & Language Tools:

      spaCy, NLTK, TextBlob
    • Modeling & Deployment:

      TensorFlow, PyTorch, Keras, Scikit-learn, MLflow
    • APIs & UI Frameworks:

      Flask, FastAPI, Streamlit, Gradio
    • DevOps:

      Docker, Git, CI/CD workflows, Kubernetes, Terraform

Preferred Qualifications:

  • Experience with agent orchestration tools like

    LangGraph

    , ReAct, or Toolformer.
  • Exposure to real-time or asynchronous multi-agent systems.
  • Familiarity with prompt engineering, context management, and RAG pipelines.
  • Contributions to open-source agent/LLM projects or research publications in AI/ML.

Why Join Us?

  • Be part of an AI-first product company solving real-world automation and decision-making challenges.
  • Work with a team of AI innovators and contribute to cutting-edge research and applications.

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