AI Solutions Engineer

in Computer Science/AI/ML (or related) with 3+ years AI/ML engineering experience.

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.

$122,430

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$168,340 USD

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:

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

Create and maintain self‑service resources (playbooks, tutorials, templates) that empower users to build and evaluate AI solutions safely.

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.

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