Agentic AI Developer

nCircle Tech Co

Pune District

On-site

INR 1,800,000 - 2,400,000

Full time

2 days ago
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Job summary

nCircle Tech Private Limited in Pune is seeking an Agentic AI Developer to design, build, and deploy intelligent AI agents that automate real-world business workflows. The role intersects AI, software development, automation, and multi-agent systems to create AI-powered solutions capable of reasoning, planning, and executing tasks within enterprise environments.

The candidate will work with modern LLMs, AI frameworks, and agent orchestration platforms, building autonomous agents and back-end

Qualifications

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

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 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.

Skills

LangGraph
LangChain
CrewAI
AutoGen
Semantic Kernel
OpenAI Agents SDK
Agentic AI
Multi-Agent Systems
Prompt Engineering
RAG Architectures
Function Calling & Tool Usage
AI Memory Management
Python
JavaScript/TypeScript
REST APIs
Microservices Architecture
Backend Development
Database Design
OpenAI
Azure AI Services
Anthropic Claude
Google Gemini
Open-Source LLMs
Pinecone
Weaviate
Chroma
Milvus
SQL
PostgreSQL
MongoDB
Docker
Git

Education

Bachelor's or Master's degree in Computer Science, AI, Data Science, or related field

Tools

SQL
PostgreSQL
MongoDB
Docker
Git
REST APIs
Microservices
Backend Development
Pinecone
Weaviate
Chroma
Milvus

Job description

nCircle Tech Private Limited (Incorporated in 2012) empowers passionate innovators to createimpactful 3D visualization software for desktop, mobile and cloud. Our domain expertise in CADand BIM customization is driving automation with the ability to integrate advanced technologieslike AI/ML and AR/VR, which empowers our clients to reduce time to market and meet businessgoals. nCircle has a proven track record of technology consulting and advisory services for AECand Manufacturing industry across the globe. Our team of dedicated engineers, partnerecosystem and industry veterans are on a mission to redefine how you design and visualize.

Job Description
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
  • Docker
  • Git
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.
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