AI Engineer

Insaito Software

Greater Noida, Pune District, Bengaluru

Hybrid

INR 1,500,000 - 2,100,000

Full time

13 days ago
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Job summary

Insaito Software in Greater Noida, India is seeking an experienced AI engineer to design and implement AI applications and agent-based solutions using Python, LangChain, and LangGraph. You will build agentic and multi-agent systems, integrate tools via MCP, and develop robust APIs with FastAPI.

The role requires 6–11 years of relevant experience, hands-on Azure OpenAI or other LLM platforms, and a strong foundation in microservices, design patterns, and scalable AI architectures.

Qualifications

  • Minimum 6–11 years of relevant experience.
  • Proficient Python development skills.
  • LangChain & LangGraph experience for AI apps and agent orchestration.
  • Agentic AI and multi-agent systems design and implementation.
  • Experience with MCP for tool and system integration.
  • Hands-on Azure OpenAI or other LLM platforms.
  • Experience with FastAPI or Python backend frameworks.
  • Strong knowledge of microservices and design patterns.
  • Knowledge of scalable, secure AI architectures.

Responsibilities

  • Design and implement AI applications and agent-based solutions using Python, LangChain, and LangGraph.
  • Build and integrate agentic and multi-agent systems.
  • Develop tool and system integrations using MCP.
  • Build APIs and backend services using FastAPI and Python backend frameworks.
  • Work with LLM platforms such as Azure OpenAI or equivalent.
  • Apply microservices architecture and software design patterns to AI solutions.
  • Design scalable, secure, and reliable AI architectures.
  • Work with databases, caching systems, and vector stores where required.
  • Implement agent-to-agent communication and orchestration where applicable.

Skills

Python
LangChain
LangGraph
Agentic AI
Multi-Agent Systems
MCP
Azure OpenAI
FastAPI
Backend Frameworks
Microservices
Design Patterns
AI Architecture

Tools

MCP (Model Context Protocol)

Job description

Roles & Responsibilities
  • Design and implement AI applications and agent-based solutions using Python, LangChain, and LangGraph.
  • Build and integrate agentic and multi-agent systems.
  • Develop tool and system integrations using MCP.
  • Build APIs and backend services using FastAPI and Python backend frameworks.
  • Work with LLM platforms such as Azure OpenAI or equivalent.
  • Apply microservices architecture and software design patterns to AI solutions.
  • Design scalable, secure, and reliable AI architectures.
  • Work with databases, caching systems, and vector stores where required.
  • Implement agent-to-agent communication and orchestration where applicable.
Experience
Must-Have Skills
  • Minimum 6 - 11 years of relevant experience
  • Python: Strong development skills
  • LangChain & LangGraph: AI application and agent orchestration
  • Agentic AI & Multi-Agent Systems: Designing and implementing agent-based solutions
  • MCP (Model Context Protocol: Tool and system integration
  • Azure OpenAI / LLM Experience: Hands-on experience with Azure OpenAI or other LLM platforms
  • FastAPI / Python Backend Frameworks: API and service development
  • Microservices & Design Patterns: Strong software architecture fundamentals
  • AI Architecture: Design knowledge of scalable, secure, and reliable AI systems
Nice-to-Have Skills
  • A2A (Agent-to-Agent) Agent-to-agent communication
  • PostgreSQL
  • Redis
  • Vector Databases / Vector Stores
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