Location: Remote • California, Colorado, Florida, Idaho, Illinois, Massachusetts, Minnesota, Missouri, Montana, Nevada, New Jersey, New York, Oregon, Pennsylvania, Texas, Utah, Washington • 🇺🇸 United States
Pioneer next-generation enterprise applications by architecting scalable, interoperable AI agents that reimagine and automate workflows across sales, customer success, creative, finance and other core functions
Rapidly prototype and validate Gen AI solutions through quick proof-of-concepts, then leverage learnings and feedback to ship production-ready solutions at speed
Partner with decision makers and subject matter experts across the organization to deeply understand existing workflows and seamlessly integrate AI agents into daily operations
Design robust systems that effectively manage uncertain AI-generated results, create reliable guardrails, and develop flexible products capable of handling the inherent variability in generative AI outputs.
Design and implement comprehensive evaluation frameworks, monitoring systems, and dashboards assess model performance
Treat prompt engineering as both an art and a science via iteration, analysis, and collaboration with cross-functional teams to translate human workflows into LLM instructions
Implement and refine advanced Retrieval-Augmented Generation (RAG) systems, optimizing embedding models, text chunking, and vector storage.
Drive innovation by researching LLM and Generative AI advancements, sharing insights, and proposing new product initiatives that leverage emerging AI capabilities.
Mentor and champion best practices across the engineering team, fostering an environment of open feedback and shared learning that pushes our team forward.
Requirements
Minimum Bachelors Degree and 5yrs of relevant experience.
Seasoned software engineer with proven experience building products 0-1 and a strong proficiency in Python.
Push engineering boundaries by challenging traditional approaches, and bringing proven expertise to adapt best practices for AI-first development.
Have experience building autonomous Gen AI agents in sales, customer support, or other key functions, demonstrating proficiency in multi-agent systems and complex task decomposition.
Have experience in developing and implementing evaluation frameworks for Gen AI products, including automated testing and human-in-the-loop feedback systems.
An experienced prompt engineer who has spent significant time optimizing Gen AI products through systematic experimentation and iteration.
Demonstrated ability to navigate ambiguity, make quick, informed decisions, and course-correct rapidly as new information emerges.
Gen AI enthusiast who deeply understands LLMs' capabilities and advocates for letting models shine rather than over-constraining them with deterministic prompting.
Natural collaborator who communicates complex technical concepts clearly and works effectively with diverse stakeholders.
Lifelong learner with strongly-held but flexible beliefs, who thrives on giving and receiving constructive feedback.
Benefits
Health/vision/dental benefits associated with your country of residence
Equity
Competitive salaries
Wellness programs
Professional development opportunities
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.