AI Development & Support Engineer

Job not on LinkedIn

🕒 October 30

🍂 Massachusetts – Remote

🍂 Massachusetts – Remote

💵 $140k - $210k / year

⏰ Full Time

🟢 Junior

🟡 Mid-level

📞 Support Engineer

🚫👨‍🎓 No degree required

👻 Ghost score 0%

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• Open for 11 days.

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Starfish Storage

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2013

☁️ SaaS

🏢 Enterprise

🔬 Science

SaaS • Enterprise • Science

Starfish Storage is a software company that provides an unstructured data management platform and global file catalog for files and objects at any scale. Its product suite includes an Unstructured Data Catalog, the Starfish Automation Engine, Starfish Storage Zones, metadata classification, reporting & analytics, an integrated scale-out data mover, and capabilities for tiered storage, archive and recovery, data migration, data protection, workflow automation, and data governance. The platform supports enterprise NAS, HPC file systems and S3-compatible object stores and is built to handle billions of files and hundreds of petabytes. Typical use cases include storage management, archiving & tiering, chargeback/cost accounting, ROT cleanup, discovery/analytics, AI/ML training and inference data management, and scientific instrument workflows. The company has been recognized in life sciences (Bio-IT World award for work with Arizona State University) and targets large enterprises, research institutions, and high-performance computing environments.

📋 Description

• Build and expand MCP servers exposing Starfish's data management capabilities to LLM-powered workflows • Develop intelligent agents that reason over storage metadata at scale • Deploy and configure local LLMs using vLLM, Ollama, or similar tools • 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 • Support customers through installation, configuration, and troubleshooting of AI features and integrations • Participate in calls with technical teams, understand use cases, and translate requirements into working agents • Document technical learnings and solutions • Context-switch between deep development work and customer debugging support

🎯 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 • 2+ years Python development with 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 helpful • Resume and required custom cover letter • Must be legally authorized to work in the United States on a full-time basis without restriction • Background check may be required

🏖️ 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

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