AI Engineer; Design & Rapid Deployment

AI Engineer (Application Design & Rapid Deployment)

As an AI Engineer, you will serve as one of our "Tiger Team" engineers: a highly versatile, full-stack application specialist who designs, builds, and deploys high-impact AI applications from end to end. You excel at taking a vague business problem and turning it into a production-ready AI solution in record time. Leveraging expertise in advanced orchestration frameworks like Lang Graph and cutting‑edge developer tools like Claude Code, you will act as the primary designer of our user‑facing AI applications.

Beyond execution, you will play a vital role as an organizational enabler. You will build the evaluation systems necessary to guarantee model performance, integrate AI capabilities into workflows safely and effectively.

• End-to-End Application Design:
  Serve as designer and builder for new AI applications, mapping out how the user interface, backend logic, and AI agents interact.
• Advanced Agentic Workflows:
  Build complex, stateful, multi‑agent systems and cyclic workflows using Lang Graph inside and out to handle sophisticated enterprise use cases.
• Rapid Prototyping:
  Utilize full‑stack capabilities and AI‑assisted development tools (e.g., Claude Code) to build high‑fidelity minimum viable products (MVPs) at an accelerated pace.

• LLM Evaluation Tools:
  Design, build, and maintain automated testing and evaluation frameworks (e.g., Ragas, Tru Lens, or custom LLM‑as‑a‑judge pipelines) to measure accuracy, latency, hallucinations, and regression across applications.
• Framework Stress‑Testing:
  Act as power‑user of our internal AI Development Framework, enabling its capabilities in real‑world scenarios and providing direct feedback to the core architecture team.

• Industry Tenure: 5+ years of professional full‑stack software development experience.
• AI Engineering Specialization:
  Proven track record of designing and deploying production‑grade LLM applications, with a heavy emphasis on multi‑agent architectures.
• The "Tiger Team" Mindset:
  Experience thriving in fast‑paced, high‑agility environments where requirements evolve rapidly and execution speed is critical.

• Orchestration Mastery:
  Deep, production‑level expertise with Lang Graph for building stateful, multi‑agent workflows, alongside standard libraries.
• AI Tooling & Full‑Stack Stack:
  Hands‑on mastery of Claude Code for accelerated development, combined with robust backend skills (Python, Node.js) and modern frontend frameworks (React/Next.js).
• AI Evaluation & MLOps:
  Strong understanding of LLM evaluation methodologies, dataset curation for testing, and semantic logging/tracing tools (e.g., Lang Smith).
• Data Layer:
  Proficient with vector databases (e.g., Pinecone, Qdrant, Milvus), relational databases, and integrating unstructured data pipelines.
• Prompt Engineering:
  Excellent at prompt engineering best practices and with good linguistic intuition for LLM best performance.

• Excellent communication and collaboration skills.
• Self-driven and eager to mentor and share knowledge.
• Strong product sense; the ability to balance complex AI logic with intuitive user experiences and immediate business value.
• A self‑starter who can own an application from a blank text document to a live production URL with minimal supervision.

We expect the compensation for this role to depend on your skills, qualifications, and experience. The compensation for this role is expected to start in the low $100k. In addition to our culture, we offer a comprehensive benefits package designed to support the health and well‑being of you and your family. Our benefits include health insurance options such as medical, dental, and vision coverage, flexible spending accounts (FSA) for medical and dependent care, short‑term and long‑term disability insurance, and life and AD&D insurance.

We also provide a 401(k) retirement savings plan with a company match, paid time off (PTO), paid holidays, commuter benefits as well as access to our Employee Assistance Program (EAP) and…