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Agentic AI Developer

nCircle Tech Pvt. Ltd.

Location
Onsite (Pune City, Maharashtra)
Employment
Full-time
Level
Mid Level
Posted 1 week ago

About the role

nCircle Tech is seeking an Agentic AI Developer to design, build, and deploy autonomous AI agents that automate real-world business processes. The role involves creating intelligent solutions that reason, plan, and execute tasks while integrating seamlessly with enterprise applications and multi-agent ecosystems.

Skills

Python Agentic AI LangChain LangGraph CrewAI AutoGen LLMs RAG Vector Databases Prompt Engineering API Integration Microservices Machine Learning Software Engineering Cloud Computing Database Design

Full job details

About the Role

We are looking for a passionate Agentic AI Developer to design, build, and deploy intelligent AI agents that can automate real-world business processes and day-to-day workflows. The ideal candidate will work at the intersection of Artificial Intelligence, Software Development, Automation, and Multi-Agent Systems, creating AI-powered solutions that can reason, plan, execute tasks, and integrate seamlessly with enterprise applications.

This role requires strong software engineering fundamentals along with hands-on experience in developing AI applications using modern LLMs, AI frameworks, and agent orchestration platforms.

Key Responsibilities

  • Design, develop, and deploy autonomous and semi-autonomous AI agents for business and consumer use cases.
  • Build Agentic workflows involving planning, reasoning, memory management, and tool usage.
  • Develop AI-powered applications using Large Language Models (LLMs) such as GPT, Claude, Gemini, Llama, etc.
  • Integrate AI agents with enterprise systems, APIs, databases, CRMs, ERPs, and third-party platforms.
  • Create multi-agent ecosystems capable of collaboration and task delegation.
  • Build AI copilots, chatbots, automation assistants, and workflow orchestration solutions.
  • Develop backend services and APIs to support agent-based applications.
  • Implement Retrieval-Augmented Generation (RAG), vector databases, and knowledge management systems.
  • Optimize AI applications for performance, scalability, security, and cost efficiency.
  • Evaluate emerging AI technologies and recommend innovative solutions.
  • Collaborate with product, engineering, and business teams to identify automation opportunities.


Requirements

Required Skills

AI & Agent Development

  • Experience with AI agent frameworks such as:
    • LangGraph
    • LangChain
    • CrewAI
    • AutoGen
    • Semantic Kernel
    • OpenAI Agents SDK
  • Strong understanding of:
    • Agentic AI
    • Multi-Agent Systems
    • Prompt Engineering
    • RAG Architectures
    • Function Calling & Tool Usage
    • AI Memory Management

Software Development

  • Strong programming skills in:
    • Python (Mandatory)
    • JavaScript / TypeScript
  • Experience with:
    • REST APIs
    • Microservices Architecture
    • Backend Development
    • Database Design

AI Ecosystem

  • Experience working with:
    • OpenAI
    • Azure AI Services
    • Anthropic Claude
    • Google Gemini
    • Open-Source LLMs

Data & Infrastructure

  • Vector Databases:
    • Pinecone
    • Weaviate
    • Chroma
    • Milvus
  • Databases:
    • SQL
    • PostgreSQL
    • MongoDB

Cloud & DevOps

  • Azure / AWS / GCP
  • Docker
  • Git
  • CI/CD Pipelines

Preferred Qualifications

  • Bachelor's or Master's degree in Computer Science, AI, Data Science, or related field.
  • Experience building enterprise-grade AI applications.
  • Hands-on experience with workflow automation platforms.
  • Understanding of AI governance, security, and responsible AI practices.
  • Exposure to MLOps and AI deployment frameworks.