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Vibe Coder-in-Residence (GenAI Tech EA)

Vibe Coder-in-Residence (GenAI Tech EA)

Analog DevicesSan Jose, CA, US
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Vibe Coder-in-Residence (GenAI Tech EA)

Shadow our VP of Edge AI, capture every friction point in real time, and turn it into an automated GenAI workflowshipping daily. Act as founding engineer for the VP's digital twin "brain" while evangelizing and broadcasting the journey for maximum "AI halo" impact.

What You'll Do (First 6 Months) :

  • Day 1-30 Observe ? Automate : Pair-shadow meetings, Teams, doc reviews. Ship micro-agents that cut repeat tasks (think : LLM-powered agenda generator, decision-tracker bot).
  • Day 31-60 Scale ? Compose : Chain agents togethercalendar optimizer calls the meeting-minute bot which feeds the action-item tracker. Instrument with telemetry; cut human touchpoints by >

25 %. Build a microsite "tech radar" that maps VP's Deep Research notes into visible tech-trends radar. Build a "team tracker" agent to generate the weekly status radar for whole of VP's org.

  • Day 61-90 Externalize ? Evangelize : Package best agents as internal templates. Produce a public demo or open-sourced repo; partner with Comms for media drops.
  • Month 4-6 Digital Twin v1 : Fine-tune a personal-style LLM and mult-agent fabric that drafts briefs and strategic emails and technical articles indistinguishable from the VP. Formal Turing evaluation : randomize % past emails into twin vs. VP variants, have peers label author; shoot for ? 70 % confusion before iterating toward BLEU 0.75 goal.

    • Daily Responsibilities :

  • Live-code GenAI agents in Python / TypeScript using LangChain, OpenAI etc.
  • Fine-tune and orchestrate LLMs (OpenAI, Claude, local models).
  • Rapid-fire prompt engineering; optimize systems prompts for set of VP agents.
  • Integrate with enterprise APIs (Teams, Confluence, Office).
  • Maintain a "metrics or it didn't happen" dashboard (latency, adoption, minutes saved).
  • Co-write technical blogs and demo scripts with Comms to amplify the story.

    • Must-Haves :

  • Track record of shipping GenAI products in
  • Mastery of GenAI and agent frameworks (Langchain, MCP etc).
  • Rapid full-stack micro-site builder (e.g. Vercel).
  • Comfortable pair-programming or pair-prompting in a fast-moving exec environment; ego-less, outcome-obsessed.
  • Storytelling chopscan turn a changelog into a headline.
  • Time zone : The role is based out of San Jose (CA, USA) or Limerick (Ireland), but the applicant can work remotely and must be willing to work in whichever time zone the VP is in, mostly the CA time zone.

    • Nice-to-Haves :

  • Experience reverse-engineering personal workflows or building AI copilots.
  • Familiar with range of productivity hacks and how to code them as agents
  • Prior startup founding engineer (doesn't matter if company succeeded) or hacker-in-residence cred.
  • Familiar with enterprise security & compliance for LLM rollouts.

    • Success Metrics :

  • 5 production agents live by day 30.
  • 30 % reduction in VP calendar load by day 90.
  • 2 external media features or conference demos by month 6.

    • How to Apply : Skip the rsum. Ship a working agent that summarizes this job description, drafts your intro email in the VP's voice, and posts both to a public GitHub repo. Include a README on architecture choices. Fastest high-quality submission wins the initial selection interview. Successful applicants will be expected to live-hack to solve a set of indicative problems. Finalists will live-code with our VP.

    Analog Devices is an equal opportunity employer. We foster a culture where everyone has an opportunity to succeed regardless of their race, color, religion, age, ancestry, national origin, social or ethnic origin, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, parental status, disability, medical condition, genetic information, military or veteran status, union membership, and political affiliation, or any other legally protected group.

    EEO is the Law : Notice of Applicant Rights Under the Law.

    The expected wage range for a new hire into this position is $144,038 to $216,056. Actual wage offered may vary depending on work location, experience, education, training, external market data, internal pay equity, or other bona fide factors. This position qualifies for a discretionary performance-based bonus which is based on personal and company factors. This position includes medical, vision and dental coverage, 401k, paid vacation, holidays, and sick time, and other benefits.

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    Genai • San Jose, CA, US