Software Engineer - Applied AI
AI & Machine Learning
GTM
WFA Digital Insight
Demand for AI engineers is skyrocketing, with companies like Workos at the forefront of innovation. As the job market evolves, professionals with expertise in GTM and AI are in high demand. With Workos' recent
00M Series C funding, this role offers a unique chance to work with a pioneering company. Before applying, candidates should be prepared to showcase their problem-solving skills and ability to adapt to rapidly changing technologies.
Job Description
About the Role
Workos is building an Applied AI team to drive productivity across Engineering, Sales, Support, and Operations. As an Applied AI Engineer, you will design and ship production AI systems, focusing on internal and external applications.Responsibilities
- Collaborate with various teams to identify high-impact internal problems that AI can solve.
- Design and build stable, maintainable tools and workflows that become part of daily operations.
- Utilize Large Language Models (LLMs), embeddings, retrieval, and tool-calling to integrate with various systems and services.
- Replace manual processes with AI-driven flows that span multiple apps and data sources.
- Stay updated on new models, tooling, and best practices, and help the team converge on effective patterns and infrastructure.
About Workos
Workos powers enterprise features for many fast-growing AI companies, including OpenAI, Cursor, and Perplexity. With a recent00M Series C funding, valuing the company at $2B, Workos is at the forefront of Human and Agent Authentication, Identity, and Access Control.
How to Stand Out
- Ensure your portfolio showcases AI-driven projects and problem-solving skills.
- Be prepared to discuss your experience with GTM and how you can apply it to drive growth at Workos.
- Develop a solid understanding of Large Language Models (LLMs) and their applications.
- Practice explaining complex AI concepts in simple terms to demonstrate your ability to collaborate with non-technical teams.
- Highlight any experience with rapid prototyping and adaptation to changing technologies.
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