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AI Development & Support Engineer

Starfish Storage Corporation•United States•🌍 Remote
Full-time1-3
$140K - $210K
per year
👁️ 0 views•📝 0 applications•Posted 9/23/2026•Expires 11/22/2026
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Job Description

How to Apply Provide the following required materials: Resume Cover Letter – In your application, you must submit a cover letter. Please provide brief, concrete examples for the following questions. We value specific technical details, tool names, and honest assessments of where technology succeeds and fails.

Describe a project where you used an AI tool (e. g. , ChatGPT, Claude, Cursor, GitHub Copilot, etc) to write or significantly speed up your coding. What were you building, what was your specific approach to instructing the AI, and where did the AI fall short? All LLMs have specific coding quirks and repetitive errors.

Name the specific model you use most (e. g. , Opus, GPT-5. x) and describe a highly specific, recurring syntax or logic error it makes that drives you crazy. How do you work around it?

If a hot new open-source AI model gets released tomorrow and you want to test it out locally on your own laptop or machine (not just using a web browser), how would you set that up? What specific software, tools, or frameworks would you use to get it running?

Location Your home office or our Waltham, MA HQ or hybrid Qualifications Hard Requirements Solid grasp of agent architectures, prompt engineering, and MCP or tool-use patterns Hands-on experience with local/open-source LLMs: you've run them, tuned them, deployed them Comfortable working in Linux environments and debugging at the command line Strong communicator: you can explain what's broken and why to both engineers and non-engineers This is not a role for someone who has tried out some youtube tutorial videos on their own.

You need to have some real experience implementing this.

Helpful Background 2+ years Python development — real shipped and used code Experience with RAG pipelines or vector databases Familiarity with REST APIs and integration patterns Docker comfort Background in storage systems or HPC environments (this helps more than you think) Working Style You can context-switch between deep development wor

Required Skills

agent architecturesprompt engineeringMCPlocal LLMsopen-source LLMsLinuxcommand line debuggingPythonRAG pipelinesvector databasesREST APIsDockerstorage systemsHPC environments

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