Staff / Principal Full Stack AI Engineer

• We’re looking for a Full Stack AI Engineer to help us build the next generation of AI-powered product experiences at BrightHire
• In this role, you’ll own the end-to-end delivery of customer-facing AI features from early prototypes and prompt experiments through evals, backend systems, data modeling, and polished product interactions
• You’ll work closely with Product and Design to move quickly, learn from users, and turn ambiguous AI product ideas into reliable, production-ready features that customers use every day
• 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
• Voice AI interviewers that create structured, high-quality candidate conversations and assessments
• Automatic interview coaching that provides tailored feedback and guidance based on an interviewer’s recent interviews, with customizable content
• AI candidate skills matrices that summarize evidence from interviews and map it to key skills aligned with the job description
• AI assistants that let users instantly query any detail about a candidate, interview, or hiring process using natural language
• Customizable interview summaries that enable customers to generate personalized summaries using their own structure, criteria, and tone
• And many more AI-native workflows that help hiring teams make better decisions

Benefits

• Competitive salary
• Meaningful equity
• 401(k) plan
• Health, vision, & dental
• Flexible PTO
• Vacation bonus
• Paid parental leave
• Work setup budget
• Quarterly Offsites
• Learning stipend
• Monthly snack delivery
• Team Events

• This is a role for an engineer with strong product taste, customer empathy, and the ability to make LLMs useful in real workflows
• You care deeply about output quality, speed, accuracy, safety, and tone and you know how to iterate until the experience feels genuinely valuable to end users
• Experience working with both structured data, such as SQL, and unstructured data, such as transcripts, documents, and raw text
• Real-world experience building generative AI applications end to end
• Strong product instincts and the ability to reason from the customer’s perspective
• Comfort designing backend logic, data models, APIs, and system architecture
• The ability to move quickly and independently while knowing when to collaborate, pair, or pull others in
• A sharp eye for quality: accuracy, tone, personality, safety, speed, and reliability all matter to you
• Strong full-stack engineering skills, especially in Python and JavaScript/TypeScript
• Experience with prompt engineering, prompt chains, evals, retrieval/vector search, and LLM-powered workflows
• Strong judgment around what LLMs are good at, where they fail, and how to design product experiences that use them well