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Apprentice Graduate Python Developer Jobs in Pleasant Hill, CA

Working knowledge of Python and Git . * Fluent in at least one GPU programming model like CUDA , HIP , Slang , HLSL , or GLSL . * At least 1 year of professional or graduate-level research experience ...

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... graduate degree preferred) * 2+ years of professional experience in data engineering or a closely ... Proficiency in Python, SQL * Experience with web scraping/crawling (e.g., Beautiful Soup, Selenium ...

Responsibilities We are seeking exceptional graduate students to join our AI Lab as Research ... Strong programming skills in Python and PyTorch * Ability to work in-person at our San Francisco ...

Should we want to extend you a full-time offer after you graduate, we ask that you would be willing ... Familiarity with SQL, Python, or data visualization tools is a plus * Curious mindset with ...

Should we want to extend you a full-time offer after you graduate, we ask that you would be willing ... Develop and troubleshoot Python scripts that integrate APIs and enterprise platforms (e.g., Google ...

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Apprentice Graduate Python Developer information

See Pleasant Hill, CA salary details

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How much do apprentice graduate python developer jobs pay per hour?

As of Jul 1, 2026, the average hourly pay for apprentice graduate python developer in Pleasant Hill, CA is $64.03, according to ZipRecruiter salary data. Most workers in this role earn between $52.79 and $72.74 per hour, depending on experience, location, and employer.
What cities near Pleasant Hill, CA are hiring for Apprentice Graduate Python Developer jobs? Cities near Pleasant Hill, CA with the most Apprentice Graduate Python Developer job openings:

AI Agent Software Engineer

Cooperidge Consulting Firm

San Francisco, CA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 25 days ago


Job description

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.

Requirements
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.

Benefits
  • 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