AI Engineer (Remote)

Location: Remote Virtual, work-from-home position. Work anywhere in the US, must live in the US The Mission We are seeking an experienced AI Engineer who is motivated, creative, and personable to join our dynamic team. This role requires a strong combination of technical expertise—particularly in software and AI—and real-world experience in building and deploying AI-powered systems. The ideal candidate will be focused on ensuring that technical AI solutions solve real-world problems and deliver measurable business outcomes. The AI Engineer will be responsible for moving models out of a notebook environment and integrating them into a live, scalable, and monitored system. The AI Engineer will collaborate closely with other engineers and the broader DAIA team to operationalize machine learning and generative AI models at enterprise scale. This role will also help define best practices and guidelines for engineering teams. What You’ll Do (The Impact) AI & Automation Discovery: Partner with stakeholders across the organization to identify and prioritize high-value opportunities for AI and automation. Build & Ship: Design, develop, and support AI & automation systems that drive measurable business outcomes—from initial scoping to production deployment. Platform Engineering: Design, build, and maintain scalable infrastructure, including frontend interfaces, backend services, and the underlying AI platform layer. Data Pipelines & Model Integration: Create data pipelines and AI model context protocols, leveraging tools like MCP, LangChain, vector databases, and semantic search. Reliability & Security: Ensure the high availability, performance, and security of AI platform services. Extensibility: Contribute to platform growth by authoring SDKs, APIs, and comprehensive developer documentation. Communication & Alignment: Translate complex AI concepts for non-technical stakeholders and keep business goals front and center. Stay Sharp: Keep pace with rapidly evolving AI models, frameworks, and research—and bring that knowledge back to the team. Who You Are Education: 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. Experience: 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. Technical Skills: Builder & Deployer: You don’t just prototype—you ship. You have proven experience moving AI models out of notebooks and into live, scalable, monitored production systems. AI & ML Practitioner: You are fluent in the full generative AI stack—LLMs, embeddings, vector databases, semantic search—and know how to apply them to real business problems. Pipeline Pro: You have strong SQL skills, experience with data warehousing, and you build clean, reliable pipelines that others can depend on. Software Craftsperson: You write production-ready code. OOP, clean architecture, testable systems—these aren’t buzzwords to you, they’re defaults. Automation Native: You’ve worked with automation tools (Zapier, Gumloop, n8n, or similar) and know when to reach for them versus when to build something custom. Strategic & Systems Thinker: You connect technical decisions to business outcomes. You can hold the big picture and the implementation detail at the same time. Communicator: You’re as comfortable in a stakeholder meeting as you are in a code review. Ethics-First: You believe in responsible, transparent AI practices and bring that lens to everything you build. Culture Fit: You thrive in a remote-first environment, are self-directed, and genuinely enjoy collaborating across functions. Curiosity is your default setting. Preferred but Not Required: Full-Stack Fluency: You’ve built end-to-end systems with React/TypeScript/Next.js frontends and Python/FastAPI or Node.js backends—and you’re comfortable managing data with Postgres or Redis. Quantitative Thinker: You have a solid grounding in statistics, probability, and experimental design. You know how to evaluate model performance rigorously, design meaningful tests, and distinguish signal from noise. Additional Requirements Can work a full-time W2 position on core U.S. business hours in your time zone. Ability to fulfill the job requirements with or without reasonable accommodations. Must be located in the United States and be legally eligible to work for us. Travel is required for an all-company meeting, and may be required once or twice per year for team or project meetings. Occasional after-hours/on-call for emergency support and special events (generally less than four times per year). We prefer an excited candidate with a great attitude and less experience to an unmotivated or unengaged candidate with tons of experience. Why Join Us? 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. To Apply To apply, please submit a cover letter with your application. In your cover letter, we’d love to hear about: 1) why you would make a great addition to our team, and 2) about a book you’ve read or video you’ve watched from which you learned something new or interesting. #J-18808-Ljbffr continued