AIML Engineer

6 days ago

Pune, Maharashtra, India Atyeti Inc Full time ₹ 12,00,000 - ₹ 36,00,000 per year

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Role Overview:

We are seeking a highly skilled
AI Engineer
to design and implement intelligent systems using
agentic AI
capable of autonomous decision-making and task execution. This role involves integrating advanced machine learning models with reasoning, planning, and interaction capabilities to build scalable, intelligent applications. The ideal candidate will have a strong foundation in
LLMs
,
prompt engineering
, and
web development
, with hands-on experience deploying AI-powered web applications.

Key Responsibilities:

  • Design and develop agentic AI systems with autonomous task execution capabilities.
  • Integrate
    Large Language Models (LLMs)
    with
    reasoning
    ,
    planning
    , and
    interaction frameworks
    .
  • Implement
    Retrieval-Augmented Generation (RAG)
    architectures using
    vector databases
    .
  • Engineer effective prompts and workflows for LLM-based agents.
  • Utilize agentic libraries (e.g., LangChain, AutoGPT, CrewAI, etc.) to build modular and scalable AI agents.
  • Develop and deploy web applications that interface with AI systems.
  • Collaborate with cross-functional teams to define system requirements and deliver robust solutions.
  • Optimize performance, scalability, and reliability of AI-powered applications.

Must-Have Skills:

  • Programming:
    Proficiency in
    Python
    and relevant AI/ML libraries.
  • LLMs:
    Experience working with models like GPT, Claude, Mistral, or open-source equivalents.
  • Prompt Engineering:
    Ability to design and refine prompts for complex tasks.
  • Vector Databases:
    Hands-on experience with
    FAISS
    ,
    Pinecone
    ,
    Weaviate
    , or
    Chroma
    .
  • RAG Architecture:
    Deep understanding of retrieval-based generation pipelines.
  • Agentic Libraries:
    Familiarity with frameworks like
    LangChain
    ,
    AutoGPT
    ,
    CrewAI
    , or similar.
  • Web Development:
    Prior experience in
    frontend/backend development
    and
    web app deployment
    (e.g., using Flask, FastAPI, React, Docker).
  • Deployment:
    Experience deploying applications on cloud platforms (AWS, Azure, GCP) or containerized environments.

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