Lead AI Solutions Engineer
SeedlingLabs Private LimitedBengaluru, Republic Of India, IN30+ days ago
Job descriptionArchitectural 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. 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 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 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. 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).
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
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### Required Qualifications
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Ai Solution Engineer • Bengaluru, Republic Of India, IN
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