Forward Deployed Engineer
Forward Deployed Engineer embedding with strategic healthcare customers to build and deploy production AI applications, agents, and workflows on Infinitus's platform. Requires 8+ years technical customer-facing experience, strong LLM and Python skills, and high agency in ambiguous enterprise settings.
About the job
Responsibilities
- Work within customer systems to build production applications with our Studio and Lens platform ensuring that these products meet customer requirements.
- Deliver technical artifacts for customers like MCP servers, sub-agents, and workflows etc that will be used in production workflows.
- Provide white glove deployment support for Infinitus products in enterprise environments.
- Identify and codify repeatable deployment patterns and contribute insights back to our Product and Engineering teams.
- Maintain strong knowledge of the latest developments in LLM capabilities, implementation patterns, and AI product development stacks.
- Define agentic best practices and guide customers through AI adoption.
- Build long term relationships with customers and proactively identify new opportunities for AI deployment throughout the lifecycle of an engagement.
- Be a champion for Infinitus’s mission in the field.
Requirements
- 8+ years of experience in a technical, customer facing role such as Forward Deployed Engineer, or as a Software Engineer with consulting experience. Former technical founders are also encouraged to apply.
- Production experience with LLMs including advanced prompt engineering, agent development, evaluation frameworks, and deployment at scale.
- Strong programming skills with proficiency in Python (and ideally in one or more additional languages like Typescript, Java, etc) and experience shipping production applications.
- High agency with an ability to navigate ambiguity present in complex organizations.
- High cooperation mindset for cross-organizational collaboration, balancing competing priorities with integrity.
- Passion for advancing safe, beneficial AI systems through creative technical applications.
- Strong communication skills to conduct discovery with customers and to convey technical concepts to diverse stakeholders while maintaining a low ego and collaborative approach.
Nice-to-Haves
- A background in healthcare/life sciences, or another enterprise vertical.
- Experience with AI deployment patterns.
- Experience working as an FDE or in a professional services context.
Skills
LLMs, Prompt Engineering, Agent Development, Python, TypeScript, Java, Evaluation Frameworks, Ai Deployment
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