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Job Description
Structured overview of role & requirementsAbout This Role
Lead end-to-end design, development, and delivery of AI-native and cloud-native systems improving developer experience and platform capabilities.
Drive complex multi-team technical initiatives, resolving architectural conflicts and owning code lifecycle from design to delivery with automated testing and observability.
Build evaluation infrastructures for AI features, make architectural trade-offs balancing latency, cost, scalability, reliability, and model quality, and mentor senior engineers.
Minimum Requirements
8+ years of software engineering experience delivering high-quality products.
3+ years hands-on experience with LLM prompting, agent design, retrieval systems, and integration of LLM APIs (e.g., Anthropic, OpenAI, Bedrock).
Strong JavaScript/Node.js, Python, and Java skills including data modeling, query optimization, front-end frameworks (React, Angular, Vue, or Lit), and automated testing in CI/CD pipelines.
Familiarity with LLM orchestration frameworks, vector databases (e.g., LangChain, LlamaIndex), and experience with AI evaluation metrics, debugging, and production readiness.
Ideal Candidate Profile
Operates effectively at the intersection of UI, backend, and AI engineering, delivering impactful AI-native product solutions.
Experienced in shaping architecture and development processes to raise code quality and engineering standards across teams.
Skilled at balancing technical depth with organizational impact, mentoring senior engineers, and collaborating cross-functionally including product management.