AI Platform/ Model Developer at Mars leveraging AI to enhance North America Supply Chain efficiency and resilience. Collaborating with various teams to design and implement scalable AI capabilities.
About the role
- Applied AI Engineer at WorkOS designing and shipping production AI systems. Collaborating with teams across the company to improve efficiency and workflows using AI.
Responsibilities
- Work closely with Engineering, Sales, Support, and Ops to uncover high‑leverage internal problems where AI can remove bottlenecks or unlock new workflows.
- Design and build tools that become part of people’s daily work – agents, automations, and workflows that are stable, observable, and easy to maintain.
- Use LLMs, embeddings, retrieval, and tool‑calling to plug into docs, Slack, GitHub, CRM, analytics, support systems, and internal services.
- Replace repetitive, multi‑step manual processes with orchestrated, AI‑driven flows that span multiple apps and data sources.
- Stay current on new models and tooling, run focused experiments, and help the team converge on patterns, libraries, and infra that compound over time.
Requirements
- You’ve taken AI‑powered systems from idea to production and through at least one iteration cycle with real users.
- Strong engineering fundamentals. You’re comfortable owning services, data flows, and integrations end‑to‑end.
- Experience with LLM APIs, embeddings, retrieval / RAG‑style architectures, and structured tool‑calling (or agents), even if not all in production yet.
- You’re comfortable stitching together APIs, webhooks, event systems, and internal tools, and you think about failure modes, observability, and ownership.
- Bias toward action. You care less about showing off a model and more about removing real bottlenecks, saving hours, or unlocking workflows the company couldn’t do before.
- Comfort with ambiguity and fast change. You enjoy working in areas where the problem, the tools, and the “right” patterns are evolving quickly – and you’re excited to help define them.
- Nice to have: Prior work with enterprise SaaS, identity / auth, or security‑sensitive systems.
- Nice to have: Exposure to MCP or similar protocols for connecting AI agents to real systems.
Benefits
- Competitive pay
- Substantial equity grants
- Healthcare insurance (Medical, Dental and Vision) for you and your family
- 401k matching
- Wellness and fitness monthly allowances
- PTO + paid holidays + unlimited sick leave
- Autonomy and flexibility with remote work
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