Senior/Staff Full Stack AI Engineer
About The Position
BrightHire is seeking a Full Stack AI Engineer to develop the next generation of AI-powered product experiences. This role involves end-to-end ownership of customer-facing AI features, from initial prototypes and prompt experiments to backend systems, data modeling, and user interface design. The engineer will collaborate with Product and Design teams to rapidly develop reliable, production-ready features that provide genuine value to end-users. The ideal candidate possesses strong product intuition, customer empathy, and the ability to effectively integrate Large Language Models (LLMs) into real-world workflows, with a keen focus on output quality, speed, accuracy, safety, and tone.
Requirements
- Real-world experience building generative AI applications end to end.
- Experience with prompt engineering, prompt chains, evals, retrieval/vector search, and LLM-powered workflows.
- Strong full-stack engineering skills, especially in Python and JavaScript/TypeScript.
- Comfort designing backend logic, data models, APIs, and system architecture.
- Experience working with both structured data, such as SQL, and unstructured data, such as transcripts, documents, and raw text.
- Strong product instincts and the ability to reason from the customer’s perspective.
- A sharp eye for quality: accuracy, tone, personality, safety, speed, and reliability all matter to you.
- The ability to move quickly and independently while knowing when to collaborate, pair, or pull others in.
- Strong judgment around what LLMs are good at, where they fail, and how to design product experiences that use them well.
Responsibilities
- Prototype, build, and productionize AI features across the full stack.
- Design prompt chains, retrieval flows, eval harnesses, and quality feedback loops.
- Build backend systems, APIs, data models, and product surfaces that support AI-powered workflows.
- Work with structured data, unstructured text, transcripts, job descriptions, interview notes, and customer-specific configurations.
- Evaluate AI outputs for accuracy, usefulness, tone, safety, latency, and customer fit.
- Partner closely with Product and Design to shape the user experience, not just implement requirements.
- Iterate quickly based on real customer usage, feedback, and quality signals.
- Make pragmatic technical decisions that balance speed, reliability, and product quality.
Benefits
- Flexible time off
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
