AI Agent Software Engineer

Cooperidge Consulting Firm is seeking an AI Agent Software Engineer for a high-momentum AI platform leader in San Francisco, CA.

This is a full-cycle ownership role for engineers who want to move beyond "opaque prompts" and build production-ready, autonomous agents. You will design AI systems that handle high-sensitivity tasks—such as password resets and complex account resolutions—traditionally managed by human teams in finance and healthcare. Utilizing a proprietary logic framework and real-time observability tools, you will build agents that are transparent, auditable, and capable of end-to-end issue resolution. This is an elite opportunity for a systems-minded engineer to join an engineer-led culture where "no prior AI experience" is required—only a mastery of robust software engineering and deep curiosity.

Job Responsibilities

• Autonomous Agent Design: Build AI-driven voice and chat agents that anticipate customer intent and resolve complex workflows end-to-end.
• Logic Framework Implementation: Translate natural language instructions into structured, modular, and auditable workflows using a proprietary agent logic framework.
• Observability & Tracing: Use real-time tools to trace agent decisions, ensuring every action is understandable, debuggable, and continuously improving.
• Performance Engineering: Analyze large-scale performance data to identify behavioral trends and drive platform-wide improvements in agent reasoning.
• Model Integration: Experiment with and tune the latest voice and language models for enterprise-grade reliability, low latency, and broad language coverage.
• Full-Cycle Ownership: Take agent concepts from initial design and prototyping through to production deployment and rapid iteration.
• Cross-Functional Partnership: Collaborate with product and operations teams to identify friction points and deliver measurable improvements to the customer experience.

Technical Core

• Minimum of 2+ years of professional experience building production-grade software systems for real users.
• Language Mastery: Strong proficiency in Python and TypeScript, with expertise in asynchronous programming and error handling.
• Systems Expert: Excellent debugging skills using profilers, log aggregators, and raw data analysis to troubleshoot complex distributed systems.
• Computer Science Foundation: Strong background in CS fundamentals; while specific language experience is flexible, a deep understanding of performance optimization is required.

Mindset & Curiosity

• The "AI Apprentice" Mindset: No prior AI experience is required; the team will provide comprehensive training on agentic reasoning and LLM integration.
• Proactive Reasoning: A deep curiosity about how AI agents reason, why they fail, and how to make them more reliable.
• Obsession with UX: A focus on building robust, transparent systems that solve real human problems.

Plus Factors

• Exposure to multimodal AI or voice interface development.
• Experience with conversational automation frameworks or enterprise CX platforms.

• Comprehensive health, vision, and dental insurance plans
• Life insurance coverage
• 401(k) retirement plan with company matching contributions
• Paid time off including vacation, sick leave, and holidays
• Opportunities for career growth and advancement