AI Development & Support Engineer

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 work and supporting a customer mid-debug
You're comfortable being the person who figures things out when there's no playbook yet

About Starfish Storage
Starfish Storage is an established company that maintains a startup culture mindset. We cater to a diverse client base, serving industries such as life sciences, artificial intelligence, and research computing. Our technology is critical to modern organizations, helping customers organize, manage, and move the tens of billions of files central to their operations.
Most AI work right now is happening in the cloud, with managed APIs, and relatively clean data. Some of our customers can't do that: they're operating in classified or regulated environments with filesystem metadata spanning billions of files. The AI problems here are genuinely hard, the deployments are genuinely constrained, and the work actually matters to science and research.
If you want AI work that's genuinely constrained, genuinely consequential, and can't phone home to OpenAI - this is it.

Job... For full info follow application link.