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Tier-1 brand, metro location, popular ML role with broad skillset increases candidate competition.
ML and platform engineering skills are transferable, but agentic SDLC and enterprise integrations require domain-specific experience.
Specific agent/LLM experience, eval design, and required Python/TypeScript and platform expertise enforce strict filters.
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Design, build, and ship LLM-powered AI agents that manage the entire software delivery lifecycle including intake, design, coding, testing, release, and operation.
Develop and maintain evaluation suites, guardrails, and human-in-the-loop gates to ensure agent output trustworthiness and quality.
Own and improve the AI platform components such as orchestration, context management, integrations, and monitoring for scalability, cost, and reliability.
3+ years of professional software engineering experience with production systems delivery and operation.
Hands-on experience building LLM-powered applications or agents including prompt engineering, tool integration, or multi-agent workflows.
Strong proficiency in Python or TypeScript and familiarity with APIs, microservices, and event-driven architectures.
Experience designing AI system evaluations or demonstrated strong test-engineering skills applicable to non-deterministic software.
Experienced in complex agentic AI system design, including orchestration and multi-agent collaboration frameworks at scale.
Skilled in setting engineering standards, mentoring teams, and improving platform reliability, cost efficiency, and security.
Capable of translating AI system behaviors and decisions clearly to technical and executive stakeholders for trust and adoption.