Design and scale backend services that integrate Generative AI and Retrieval-Augmented Generation (RAG) for production environments, ensuring reliability and efficiency.
Develop AI agents to automate complex workflows, improving overall product intelligence and enhancing user interaction.
Build data pipelines that transform both structured and unstructured data into actionable insights, enabling data-driven decision-making across teams.
Optimize retrieval systems to enhance speed, scalability, and user relevance, ensuring a seamless experience for end users.
Collaborate with cross-functional teams, including product management and engineering, to deliver AI-powered features that directly improve the customer experience and meet business objectives.
Lead and mentor a team of data scientists and engineers, fostering a culture of continuous learning and best practices in AI and machine learning development.
Requirements
5+ years of experience in AI/ML, with at least 2 years in a technical leadership role
Proficiency in Python and modern ML frameworks (e.g., TensorFlow, PyTorch)
Experience with Generative AI, RAG, and orchestration frameworks (e.g., LangChain)
Familiarity with graph databases, NLP pipelines, and vector search
Proven ability to design scalable systems and optimize for performance
Master’s degree in Computer Science, AI, or related field (or equivalent practical experience)
Benefits
15 days per year of Paid Time Off (PTO)
8 paid holidays + 1 personal floating holiday
401(k) retirement plan with company match.
Medical, dental, and vision insurance
Health savings account (HSA)
Short-term and long-term disability
Employee assistance plan (EAP)
Basic life and AD&D insurance
Health care flexible spending account
Dependent care flexible spending account
Commuter benefits
Voluntary accident & critical injury coverage
Voluntary long-term care coverage
Voluntary life and AD&D insurance
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
PythonTensorFlowPyTorchGenerative AIRetrieval-Augmented Generationdata pipelinesNLPgraph databasesvector searchscalable systems