Job Description
Forward Deployed Engineer | Agentic AI | LLM Systems. Hybrid (Austin). Up to $230k Base + RSUs + 20% Bonus. I’m partnered with one of the fastest-growing AI companies in the market right now. A well-funded unicorn building trusted, production-grade AI solutions for enterprise and government environments. This is NOT another “AI chatbot” company. Their technology is being deployed across mission-critical environments where explainability, security, observability, and real-world performance actually matter. They’re hiring Forward Deployed Engineers to work directly with customers; designing, deploying, and scaling agentic AI systems in production. You’ll operate at the intersection of: Applied AI, Software Engineering, Customer Architecture, LLM Systems, Enterprise Transformation. The role is highly hands-on and ideal for engineers who enjoy ownership, ambiguity, and solving complex business problems with modern AI tooling. You’ll be working with: Agentic AI workflows, LLM fine-tuning & evaluation, RAG pipelines & vector databases, Kubernetes / Docker / cloud infrastructure, AI observability & guardrails, Production deployments across AWS, Azure & GCP. The environment: Fast-growing AI unicorn ($250M+ raised), Strong engineering culture with high autonomy, Real enterprise adoption — not experimentation, Significant customer exposure and strategic ownership, Equity upside through RSUs. The kind of profiles likely to thrive: Backend-leaning full-stack engineers, Applied AI / ML Engineers, Technical Solutions Architects, Engineers who enjoy customer interaction and deployment work, Builders who can move between infra, backend, and AI systems comfortably. What makes this role different is the impact. You won’t be building internal prototypes or isolated demos, you’ll be deploying AI systems that organizations genuinely rely on in production environments.
