AI Engineer (Forward Deployed) — Full-Stack

Posted 1mo ago

The employer’s full description could not be read from their board. This is a summary of the posting — follow the apply link for the original.

Own end-to-end development of a production AI application across Python backend and React frontend
Design and build agentic LLM workflows, RAG pipelines, tool integrations, and structured AI outputs
Develop solutions within Palantir Foundry and AIP, including data, ontology, and AI-driven workflow integrations
Translate ambiguous business requirements into scalable technical solutions and production-ready features
Partner directly with business users to understand workflows, gather feedback, and continuously improve the product
Design intuitive AI-powered user experiences for non-technical commercial and sales users
Make independent architecture and technical decisions as the initial primary engineer on the product
Instrument and evaluate deployed AI functionality based on adoption, efficiency, savings, and other measurable outcomes
Maintain, iterate, and improve solutions after deployment rather than stopping at proof-of-concept stage
Travel periodically to work directly with stakeholders and end users as needed

Strong full-stack engineering experience with hands-on ownership of both backend and frontend development
Advanced Python development experience
React frontend development experience
Production experience building agentic LLM applications
Hands-on experience developing RAG-based systems and retrieval workflows
Proven track record of deploying AI-powered products into production environments
Ability to clearly articulate measurable business impact from previously deployed products
Experience working directly with end users or business stakeholders in a forward-deployed or highly customer-facing engineering capacity
Strong product and UX instincts, particularly when building applications for non-technical users
Ability to independently own a 0-to-1 product build and make technical decisions with limited engineering support
Comfortable operating in ambiguous environments and advising stakeholders on what should be built

Palantir Foundry and/or AIP experience
Previous Palantir Forward Deployed Engineer experience or experience working within a Foundry-enabled organization
Experience fine-tuning or implementing small language models
Experience building AI evaluation and instrumentation frameworks using tools such as Braintrust or Statsig
Formal design training, an MFA, or prior experience spanning both design and engineering disciplines
Experience developing AI products for commercial, sales, or other non-technical enterprise user groups

Skills