Forward Deployed Engineer

Job Overview

About the role

We're a fast-growing startup building AI-powered products for enterprise customers. As a Forward Deployed Engineer, you'll be the bridge between our engineering team and our customers, owning outcomes from initial discovery through live deployment. You'll work full-time directly with customers to understand their business problems, design tailored AI solutions, and ship production-grade systems that drive real impact.

What you'll do

• Work directly with customers to understand business problems, define scope, and translate ambiguous needs into technical solutions
• Design, build, and deploy GenAI solutions including LLM applications, RAG pipelines, agents, and workflow automation
• Own end-to-end delivery: architecture, implementation, integration, testing, deployment, and post-launch support
• Integrate our platform with customer systems (APIs, databases, data pipelines, enterprise tools)
• Evaluate and improve AI quality using prompt engineering, fine-tuning, evals, guardrails, and monitoring
• Make sound architecture decisions balancing latency, cost, scalability, security, and reliability
• Run demos, proofs of concept, and technical workshops with customer stakeholders
• Feed field learnings back to product and engineering to shape the roadmap and build reusable components
• Document solutions and mentor teammates as the team grows

What we're looking for

• 3–8 years of hands-on software engineering experience with strong Python skills (TypeScript/JavaScript a plus)
• Proven experience building and shipping LLM or GenAI applications to production using models from OpenAI, Anthropic, Gemini, or open-source alternatives
• Comfort working in ambiguous, fast-moving environments and translating customer needs into technical requirements
• Strong communication skills and ability to work effectively across engineering, product, and customer teams
• Problem-solving mindset with attention to both user experience and system reliability
• Familiarity with enterprise software integration patterns and best practices