Applied GenAI Engineers for Production AI Products
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We help remote-first startups hire applied GenAI engineers who turn foundation models into real-world applications. These engineers build user-facing AI systems, integrate APIs, and ship scalable GenAI features into production environments.
From prototype experimentation to stable product deployment.
Product-Focused GenAI Development
Building AI-powered features inside SaaS, internal tools, copilots, and customer-facing applications.
Model Integration & API Orchestration
Working with OpenAI, Anthropic, open-source LLMs, and tool integrations to create reliable workflows.
Performance & Cost Optimization
Managing token usage, latency, fallback logic, and guardrails to ensure stable and efficient AI systems.
How We Assess Applied GenAI Engineers
Every engineer is evaluated on execution, not experimentation:
- Hands-on GenAI application development
- Prompt workflow design and system chaining
- API integration and backend collaboration
- Error handling, monitoring, and observability
- Production deployment within live environments
Why This Role Matters
Applied GenAI engineering is about delivering value beyond demos. It requires developers who understand user experience, backend systems, and real-world reliability constraints.
We focus on engineers who can ship, maintain, and iterate production AI systems — not just build proofs of concept.