Talent.com
This job offer is not available in your country.
Staff AI Engineer

Staff AI Engineer

SeedlingLabs Private Limitederode, tamil nadu, in
3 days ago
Job description

As a Staff AI Engineer, you will be a technical leader responsible for designing and implementing the core architectural components of the

  • AI Workbench platform
  • and ensuring all delivered applications achieve sustained production quality and scale. You will work within
  • "small, skilled AI-native teams"
  • using a
  • "Human + AI Co-creation"
  • approach to deliver products and AI agents rapidly, in weeks, not months.

Your focus will be on the critical journey from a rapid MVP to sustained production.

### Key Responsibilities

1.

  • Architectural Leadership for Scale and Reliability :
  • Lead the design and implementation of the capabilities necessary to ensure applications become
  • robust, scalable, and continuously managed in production
  • Ensure the platform is designed for
  • seamless growth
  • on demand.
  • Drive the architectural structure of the AI Workbench, ensuring it is built using
  • Model Context Protocol (MCPs)
  • to maximise
  • composability
  • and modularity.

    • 2.

  • End-to-End Application Lifecycle Ownership :
  • Take responsibility for the
  • entire application lifecycle management
  • Design and implement core features that handle the complex capabilities required for continuous operations, including
  • deployment, operations, monitoring, and support

    • 3.

  • Proprietary Generative AI Economics :
  • Design, implement, and maintain the innovative
  • "thought caching" mechanism
  • within the
  • Agentic Core
  • of the AI Workbench.
  • Solve the significant barrier of the
  • high and sometimes prohibitive costs of Large Language Model (LLM) access for large-scale use cases. This mechanism is a
  • key differentiator
  • that provides a
  • significant cost advantage to customers

    • 4.

  • Addressing Talent Scarcity :
  • Contribute to overcoming the global scarcity of
  • "AI talent"
  • by mentoring team members and establishing best practices within the AI-native teams.

    • ### Required Qualifications

  • Extensive experience successfully moving sophisticated software (ideally AI-based solutions) from initial development (MVP) to a
  • robust, scalable, and continuously managed application in production
  • Proven ability to design and implement complex architectural components, such as agents and proprietary core mechanisms (e.g., thought caching), that provide a competitive advantage and serve as a
  • key differentiator
  • Deep technical understanding of the complexities associated with LLM access, performance, and the economic barriers to scaling AI applications.
  • Experience in architectural principles that support sustained growth, including modularity and maximising
  • composability
  • A strong desire to operate in an entrepreneurial environment, tackling fundamental challenges related to production complexity and application economics (Conversation History).
    • Create a job alert for this search

    Ai Engineer • erode, tamil nadu, in