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Tech Stack
Tools & technologiesJavaScriptNext.jsNode.jsPostgresPythonReactRedisSQLTypeScript
About the role
Key responsibilities & impact- Partner with stakeholders across the organization to identify and prioritize high-value opportunities for AI and automation.
- Design, develop, and support AI & automation systems that drive measurable business outcomes—from initial scoping to production deployment.
- Design, build, and maintain scalable infrastructure, including frontend interfaces, backend services, and the underlying AI platform layer.
- Create data pipelines and AI model context protocols, leveraging tools like MCP, LangChain, vector databases, and semantic search.
- Ensure the high availability, performance, and security of AI platform services.
- Contribute to platform growth by authoring SDKs, APIs, and comprehensive developer documentation.
- Translate complex AI concepts for non-technical stakeholders and keep business goals front and center.
- Keep pace with rapidly evolving AI models, frameworks, and research—and bring that knowledge back to the team.
Requirements
What you’ll need- Bachelor’s degree in Computer Science, Data Science, or a related field—or equivalent demonstrated experience through portfolio work, open-source contributions, or professional practice.
- Minimum of 3–5 years of experience in Software Engineering, Data Engineering, or Data Science, with meaningful hands-on experience building and deploying AI or LLM-powered systems.
- Proven experience moving AI models out of notebooks and into live, scalable, monitored production systems.
- Fluent in the full generative AI stack—LLMs, embeddings, vector databases, semantic search—and know how to apply them to real business problems.
- Strong SQL skills, experience with data warehousing, and you build clean, reliable pipelines that others can depend on.
- Write production-ready code. OOP, clean architecture, testable systems—these aren’t buzzwords to you, they’re defaults.
- Experience with automation tools (Zapier, Gumloop, n8n, or similar) and know when to reach for them versus when to build something custom.
- Ability to connect technical decisions to business outcomes.
- Comfortable in a stakeholder meeting as you are in a code review.
- Believe in responsible, transparent AI practices and bring that lens to everything you build.
- Thrive in a remote-first environment, are self-directed, and genuinely enjoy collaborating across functions. Curiosity is your default setting.
- Preferred: Full-Stack Fluency in React/TypeScript/Next.js frontends and Python/FastAPI or Node.js backends—and you’re comfortable managing data with Postgres or Redis.
- Preferable: Solid grounding in statistics, probability, and experimental design.
Benefits
Comp & perks- Work from home with a company-provided MacBook and internet stipend.
- 21 days of flexible PTO + your birthday + holidays (with flexible substitution).
- Comprehensive medical, dental, and vision group health insurance, flexible spending accounts, and more.
- 401k match, professional development budget, robust wellness programs, pet insurance and many more perks and benefits.
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
AI systemsautomation systemsdata pipelinesAI model context protocolsSQLOOPclean architecturetestable systemsfull generative AI stackstatistics
Soft Skills
stakeholder engagementcommunicationcollaborationcuriosityself-directedtranslating complex conceptsconnecting technical decisions to business outcomesresponsible AI practices
Certifications
Bachelor’s degree in Computer ScienceBachelor’s degree in Data Science