B.S. in Computer Science/AI/ML or related with 3+ years of AI/ML engineering experience.
Proficient in Python and familiar with TypeScript.
Understanding of large language models (LLMs) and multimodal models with performance considerations.
Knowledge of prompt engineering, retrieval-augmented generation (RAG), and AI Agent development.
Experience with machine learning libraries like vLLM, LangChain, PyTorch, and HuggingFace.
Proven ability to create self-service resources and facilitate AI training and workshops.
Ability to effectively communicate complex concepts to non-technical audiences.
Responsibilities
Collaborate with cross-functional teams to integrate generative AI solutions into products and services.
Develop domain-specific AI software utilizing RAG and Agentic AI technologies.
Ensure compliance and responsible use of AI by partnering with legal and product teams.
Implement monitoring for AI usage and bias mitigation strategies to enhance performance.
Act as the internal AI champion, guiding teams on best practices and AI adoption.
Create and maintain self-service resources to enable users to safely build AI solutions.
Host AI office hours and webinars to elevate AI understanding across the organization.
Benefits
Holistic compensation package including salary, equity plan, and incentive bonuses.
Comprehensive health and wellness benefits, including HMO and premium PPO options.
Generous paid time off policy, including vacations, sick time, and parental leave.
Professional development reimbursement opportunities to enhance skills and career growth.
Collaborative, dynamic work environment focused on innovation and technology integration.
Full Job Description
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.
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
Pay Range
$122,430-$168,340 USD
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.
