AI Development & Support Engineer

Starfish Storage Corporation; Waltham (MA); Hybrid; USD 80,000 - 110,000; Full time

Benefits offered by this job

Health insurance options

401(k) plan with employer matching

Paid holidays and PTO

Job summary

Starfish Storage Corporation in Waltham, MA is looking for an experienced professional to develop and ship MCP servers and deploy local LLMs. You will also support customer interactions, delving into complex data challenges with AI-native layers.

This role is key to advancing data management solutions across diverse industries such as life sciences and fintech, as you tackle constraints that traditional cloud platforms cannot accommodate.

Starfish offers a flexible work environment and benefits that support both your health and growth.

Qualifications

• 2+ years of Python development experience with real shipped code.
• Familiarity with REST APIs and integration patterns.
• Experience with RAG pipelines or vector databases is a plus.

Responsibilities

• Build and expand MCP servers for data management.
• Develop intelligent agents for storage metadata.
• Support customers through installation and troubleshooting.

Skills

Agent architectures

Prompt engineering

Local/open-source LLMs

Linux environments

Strong communication skills

Tools

Python

Docker

Job description

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 Overview

Starfish manages petabytes of unstructured data for national labs, research institutions, fintech, and pharma, the kind of data that doesn't fit neatly into databases or cloud buckets. We're building an AI‑native layer on top of that: MCP servers, agentic workflows, local LLM deployments, and tools that let researchers and engineers actually talk to their storage infrastructure. We're tackling hard questions too: should an agent be permitted to move 2PB of data autonomously? How do you govern that?

In this role, you'll build and ship MCP servers, deploy and tune local LLMs, write custom agents for real customers with real petabyte‑scale problems, and get them running in environments where "just use the API" isn't an option. You'll also support customers when things don't work: which means you need to actually understand what you've built.

Responsibilities

MCP & Agent Development

• Build and expand MCP servers that expose Starfish's data management capabilities to LLM‑powered workflows
• Develop intelligent agents that can reason over storage metadata at scale – including local LLM deployment and configuration using vLLM, Ollama, or similar
• Create workflow automation and chat‑based interfaces for querying and acting on Starfish data
• Build proof‑of‑concept implementations and turn them into production‑grade features

Customer‑Facing Technical Work

• Support customers through installation, configuration, and troubleshooting of AI features and integrations
• Get on calls with technical teams, understand their use cases, and translate requirements into working agents
• Document what you learn so the next person doesn't have to figure it out from scratch

Benefits

We recognize that satisfaction and well‑being are essential to long‑term sustainability and business success. Full‑time employees are eligible for the following benefits:

• Salary with potential for future commissions
• Multiple health insurance options
• Medical FSA and Dependent Care FSA
• Dental insurance
• Vision insurance
• 401(k) savings plan with employer matching
• Employer‑sponsored long‑term disability insurance
• Paid holidays and PTO (increasing with tenure)
• Discounted health club membership
• Many opportunities for growth

Equal Opportunity Employer

Starfish Storage provides equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, military service, or veteran status, in accordance with applicable federal, state, and local laws.

This position may require a background check.

Salary based on experience