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    Home/Jobs/AI Platform Lead (MCP + Orchestration)

    AI Platform Lead (MCP + Orchestration)

    Innovapptive

    Hyderabad
    6+ years
    45 days ago
    ₹23–44 LPA
    Full-time
    Hybrid

    Skills Required

    LangChain
    LLM
    OpenAI
    CrewAI
    Semantic Kernel
    DSPy
    Temporal.io
    Python
    Node.js
    Go
    AWS
    GCP
    Kubernetes
    Microservices
    Distributed Systems

    Description

    Innovapptive is seeking an AI Platform Lead to design and implement AI Agent Runtime Architecture. The ideal candidate will have experience in AI systems, platform, or orchestration architecture.

    Company: Innovapptive

    Role: AI Platform Lead (MCP + Orchestration)

    Location: Hyderabad, Telangana, India

    Experience:

    • 6+ years of software engineering experience
    • 2 years in AI Systems, Platform, or Orchestration architecture

    Role Focus: • Architect and Build the Multi-Agent Control Plane (MCP) • Implement Governance, Security, and Observability • Orchestrate Agents and Integrations • Build AI Development Infrastructure • Drive Cross-Functional Enablement

    More skills:

    AI frameworks (LangChain, CrewAI, Semantic Kernel, LlamaIndex, DSPy), Orchestration systems (, Airflow, Ray), Event-driven architectures, LLMs (OpenAI, Anthropic, Claude, Azure OpenAI), Embedding pipelines, AWS or GCP cloud architecture

    Other:

    • Competitive compensation and equity
    • Hybrid work model
    • Continuous access to AI, MLOps, and orchestration tooling ecosystems

    Prepare for this role

    Recommended resources to build the skills for this position. Sponsored.

    Python for Everybody Specialization

    Coursera

    Learn Python from scratch — variables, data structures, web scraping, and databases.

    Python 3 Programming Specialization

    Coursera

    Intermediate Python covering classes, inheritance, APIs, and data processing.

    Generative AI with Large Language Models

    Coursera

    Comprehensive LLM course covering transformer architecture, fine-tuning, RLHF, and deployment.

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