Agentic AI Developer

3 days ago

Pune, Maharashtra, India RSquareSoft Technologies Full time ₹ 15,00,000 - ₹ 25,00,000 per year

Job Title: Agentic AI Developer

Location:
Pune

Job Type:
Full-time

Experience:
6 months–2 years

About the Role

We're looking for an Agentic AI Developer who can build intelligent, autonomous AI systems using modern frameworks and tooling. You'll design, integrate, and optimize AI workflows leveraging LLMs, embeddings, vector databases, and orchestration frameworks—while ensuring robust performance and observability.

Key Responsibilities

  • Design and develop agentic AI workflows using
    LangGraph
    ,
    LangChain
    , or similar orchestration frameworks
  • Implement AI systems with
    MCP (Model Context Protocol)
  • Build, test, and deploy applications integrated with
    LLMs
    ,
    embeddings
    , and
    vector databases
  • Integrate
    OpenAI SDK
    or similar APIs to build AI-driven features
  • Write clean, efficient, and scalable
    Python
    code
  • Implement and maintain
    SQL
    -based data storage and retrieval
  • Create and validate embeddings for semantic search and retrieval
  • Perform
    UI testing
    to ensure smooth and consistent functionality
  • Integrate
    OpenTelemetry
    or similar observability tools for tracking and monitoring AI agents
  • Optimize system latency, accuracy, and performance
  • Collaborate with cross-functional teams to integrate AI solutions into products

Required Skills

  • Python
    (strong proficiency)
  • LangGraph
    ,
    LangChain
    , or similar orchestration frameworks
  • MCP (Model Context Protocol)
  • Vector Databases
    (e.g., Pinecone, Weaviate, Qdrant, ChromaDB)
  • Embedding Models
  • LLMs
    (e.g., OpenAI, Anthropic, Gemini, Llama)
  • SQL
  • UI Testing
  • OpenAI SDK
    or similar AI APIs
  • OpenTelemetry
    or other agent observability tools

Preferred Qualifications

  • Bachelor's or Master's degree in
    Computer Science
    ,
    Information Technology
    , or a related field
  • Experience deploying AI systems in production
  • Understanding of RAG architectures
  • Familiarity with prompt engineering and chaining techniques
  • Ability to work independently and collaboratively
  • Strong problem-solving and ownership mindset

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