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Technical Lead, AI Platform

1 month ago
United States
Full-time
Lead
Technical Lead
Software Development
GPT
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Bizee

Bizee

Bizee is a one-stop platform for LLC filing, business formation, and business planning. From forming LLCs to C Corporations, S Corporations, and Nonprofits, Bizee offers affordable solutions to help entrepreneurs start and grow their businesses. Additi...

Professional Services
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Description

  • Lead and operate the AI platform squad responsible for shared capabilities (model serving, LLM integration, inference pipelines, AI gateway, guardrails, evaluation frameworks, and cost management).
  • Design, build, and maintain a production-ready AI gateway with model routing, authentication, rate limiting, cost controls, and observability.
  • Develop and own the LLM application layer, including prompt management, versioning, RAG infrastructure, safety guardrails, and evaluation pipelines.
  • Implement and operate scalable model serving pipelines supporting real-time inference, batch processing, model deployment, A/B testing, and cost-optimized routing.
  • Build automated evaluation and quality frameworks for LLM outputs, recommendation quality, and AI system reliability to enable product squads to measure and iterate.
  • Deliver production code and infrastructure (60%+ of time), review PRs, and maintain high engineering quality and release stability.
  • Provide developer experience: documentation, examples, integration patterns, and enablement so other engineers can integrate AI capabilities quickly.
  • Hire, grow, and mentor a 3-4 engineer AI platform squad, set code standards, establish on-call rotations, and drive AI engineering best practices.

Requirements

  • Proven experience building and operating production AI/ML infrastructure (model serving, inference pipelines, LLM gateways) under real traffic, cost, and reliability constraints.
  • Hands-on experience building real LLM applications (Claude, GPT, or similar) with practical knowledge of prompting, RAG, fine-tuning tradeoffs, guardrails, and production operations.
  • Daily use of AI coding tools (Claude Code or equivalent) and the ability to demonstrate recent systems or applications built with them.
  • Platform-oriented engineering mindset focused on developer experience, clean APIs, documentation, and enabling other teams to ship faster.
  • Demonstrated cost and scale awareness with implementations such as cost controls, model routing optimizations, or caching strategies that reduced inference spend.
  • Proven squad leadership or tech lead experience mentoring and directing small teams (2–5 engineers) while remaining a strong hands-on contributor.
  • Business-oriented measurement of success (conversion, retention, efficiency) and ability to align infrastructure decisions to business outcomes.
  • Ability to present concrete production artifacts in interviews: architecture decisions, tradeoffs, code samples, and willingness to review a real PR from the codebase.
  • Preferred: experience building AI/ML platforms at growth-stage companies ($50M–$500M), and domain experience in e‑commerce, legal tech, fintech, or other compliance-heavy industries.
  • Preferred: demonstrable experience implementing LLM guardrails, safety systems, cost management at scale, and a track record of building shared AI capabilities consumed by multiple product teams.

Benefits

  • Health care plan including medical, dental, and vision coverage.
  • Life insurance (basic, voluntary, and AD&D).
  • Virtual wellness resources and employee wellness support.
  • Work from home (remote-friendly) policy.

Interested in this position?

Apply directly on the company website

Apply Now

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