AI Solutions Engineer

Purpose

We are looking for an AI Solutions Engineer who not only builds cutting-edge generative-AI systems but also serves as the AI Enablement lead for the organization. You'll design, develop, and productionize large-language and multimodal model solutions while dedicating a significant portion of your time to help teams adopt AI responsibly and effectively.

The Role

Help Build & Deploy AI Solutions

• Collaborate with cross-functional teams to integrate and optimize generative AI solutions into products and processes.
• Develop domain specific AI software using RAG and Agentic AI.
• Collaborate with the data engineers, product teams, people operations, and legal to ensure compliant and responsible AI.
• Implement usage monitoring and bias mitigation to improve result quality.

AI Adoption & Enablement

• Act as the primary internal AI champion, providing guidance, training, and best-practice workshops for the company.
• Create and maintain self-service resources (playbooks, tutorials, templates) that empower users to build and evaluate AI solutions safely.
• Host regular "AI office hours," one-on-one coaching sessions, and webinars to raise AI expertise across the company.
• Partner with compliance and ethics teams to embed responsible-AI checks into everyday workflows.
• Gather user feedback, translate it into product requirements, and drive iterative improvements to AI tools and platforms.

Basic Qualifications

• B.S. in Computer Science/AI/ML (or related) with 3+ years AI/ML engineering experience.
• Proficient in programming languages such as Python.
• Understanding of LLMs and multimodal models with their performance considerations and use cases.
• Knowledge about prompt engineering, RAG, and building AI Agents.
• Experience with ML/LLM libraries such as vLLM, LangChain, PyTorch, and HuggingFace.
• Practical experience developing, deploying, and scaling AI Agents in a production environment.
• Ability to translate complex technical concepts for non-technical audiences and collaborate cross-functionally.
• Experience running trainings to teach and promote AI best practices.
• Ability to create self-service enablement assets (playbooks, tutorials, reusable component libraries).
• Proven track record of gathering user feedback and iterating on AI tools to improve adoption.
• Ability to lawfully access information and technology that is subject to US export controls

Preferred Qualifications

• M.S. in Computer Science, AI, ML, or related field.
• Proficiency in TypeScript.
• Knowledge of ethical AI, compliance frameworks, and safety standards.
• Experience with multimodal pipelines and traditional AI/ML methods.
• Hands-on MLOps: CI/CD, Docker, Kubernetes.

Work Environment

• Hybrid

What We Offer

• Holistic Compensation Package: Enjoy a world-class compensation package that includes a competitive salary, equity plan, and discretionary results-based incentive bonus opportunities, ensuring you're truly valued for your contributions.
• Wellness and Time Off: Embrace a healthy lifestyle with paid vacation, sick time, and company holidays, including a year-end shutdown to recharge. We support growing families with paid parental leave, recognizing the importance of bonding time.
• Comprehensive Health and Wellness: Prioritize your well-being with our comprehensive health and wellness benefits, offering both HMO and Premium PPO options. Additionally, benefit from company-sponsored life insurance and short and long-term disability coverage for peace of mind.
• Investment in Growth: We're committed to your professional development. Take advantage of reimbursement opportunities for learning and development initiatives, empowering you to continuously expand your skill set and reach peak performance.
• Collaborative and High-Performing Environment: Join our collaborative, dynamic, and high-performing team within a fast-paced, mission-driven company. Together, we're disrupting the traditional manufacturing industry, fostering innovation, and integrating people and technology to reduce our footprint.