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Agentic AI Developer

Overview
nCircle Techncircletech.comPosted 3 weeks ago
Pune, Maharashtra, INPresencial
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Tipo de empleo
Tiempo completo
Especialización
Machine learning & AI

Sobre el puesto

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.

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

  • 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.

Key skills

  • LLM
  • Python
  • JavaScript
  • TypeScript
  • REST APIs
  • Microservices
  • Azure
  • SQL
  • PostgreSQL
  • MongoDB
  • DevOps
  • AWS
  • Google Cloud
  • Docker
  • Git
  • CI/CD
  • Data Science

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