Platform Engineer III

Job summary

The role involves designing, building, integrating, and deploying agentic AI solutions within customer environments. Key responsibilities include developing single and multi-agent systems, integrating with enterprise APIs, and implementing evaluations and automated tests using technologies such as Python, TypeScript, and major AI platforms like OpenAI and Google. The position emphasizes both value engineering and quality engineering to ensure production readiness and user value.

Qualifications

• Several years of production software engineering experience in Python, TypeScript, Java, or comparable stacks.
• Hands-on experience building with LLMs and agents on at least one major platform.
• Practical understanding of agentic patterns: tool use, retrieval, prompting, model behavior, evaluation, and multi-agent workflows.
• Experience with APIs, databases, cloud platforms, and integration surfaces.
• Strong debugging, testing, and integration discipline.
• Experience working in ambiguous delivery contexts with customers or cross-functional teams.
• Ability to balance fast prototyping with production-quality engineering.

Responsibilities

• Build agentic AI solutions: single and multi-agent systems, tool use, retrieval pipelines, automation and prototypes that reach production.
• Build on major agentic stacks, including Claude Agent SDK, OpenAI Agents SDK, Google Agent Development Kit, Microsoft Agent Framework, and LangGraph.
• Work with customer technical teams to understand systems, constraints, data, deployment paths, and operating needs.
• Use coding agents and human engineering judgment to move quickly while preserving review, test, and release discipline.
• Integrate agents with enterprise systems, APIs, cloud services, databases, ticketing systems, model services, and security controls.
• Implement agent evaluations, automated tests, observability hooks, runbooks, and release safeguards.
• Troubleshoot implementation, deployment, data, model, and integration issues.
• Codify successful patterns into reusable starter kits and playbooks.
• Provide feedback to platform vendors to improve tools.
• Support handover and production readiness with clear documentation.
• Collaborate with architects and delivery managers to align implementation with value and technical guardrails.

Skills

Relocation