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Tech Stack
Tools & technologiesAWSCloudJavaNoSQLPythonSQL
About the role
Key responsibilities & impact- Conduct structured assessments across business units to identify manual, repetitive, or data-intensive workflows where AI can deliver measurable time and cost savings.
- Architect and build AI-powered solutions — including LLM integrations, intelligent automation, and ML-assisted workflows — from concept through production.
- Act as the technical bridge between business stakeholders, product management, and engineering teams.
- Own end-to-end delivery of AI solutions, including integration with existing systems, API design, prompt engineering, evaluation frameworks, and monitoring.
- Develop internal tooling, documentation, and training to help non-technical teams adopt AI tools effectively.
- Define and enforce standards for responsible AI deployment, including data privacy, bias mitigation, auditability, and compliance.
Requirements
What you’ll need- 5+ years of professional experience in software engineering, data science, or a related technical discipline with a track record of shipping production systems.
- 2+ years of hands-on experience designing and deploying AI/ML solutions, including LLM-based applications, intelligent automation, or ML-assisted workflows.
- Demonstrated experience conducting process or workflow assessments to identify automation or AI opportunities across business functions.
- BS/MS in Computer Science, Engineering, Mathematics, or equivalent practical experience.
- Hands-on experience with LLM APIs (e.g., Claude, OpenAI, Gemini), prompt engineering, RAG architectures, and agent frameworks (e.g., LangChain, LlamaIndex).
- Proficiency with AWS or equivalent cloud platforms, including serverless architectures, managed AI/ML services (e.g., SageMaker, Bedrock), and Infrastructure as Code.
- Strong proficiency in Python and/or Java; experience building APIs, data pipelines, and integrating AI components into existing software systems.
- Experience with SQL and NoSQL databases, data wrangling, and building evaluation frameworks to measure AI solution performance.
- Proven ability to engage business stakeholders to surface workflow inefficiencies and translate them into scoped, deliverable AI initiatives.
- Strong written and verbal communication skills; able to present technical solutions and ROI narratives to executive, product, and engineering audiences.
- A pragmatic, outcome-oriented mindset — comfortable navigating ambiguity and scoping solutions that balance innovation with practical constraints.
- Commitment to responsible AI principles: fairness, transparency, privacy, and auditability in all deployed solutions.
Benefits
Comp & perks- Competitive Medical Benefits (PPO + HSA available)
- Vision, Dental, Short-Term Disability fully covered by Cayuse
- Unlimited PTO + Holidays + Flexible Work Schedule
- Remote Work Stipend
- Equal Paid Parental Leave
- 401k with Employer Matching
- Quarterly Wellness Reimbursement
- Remote Work Environment, supporting the Ultimate Employee Experience
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Software EngineeringData ScienceAPI DesignPrompt EngineeringData WranglingSQLNoSQLEvaluation FrameworksIntegrationAutomation
Soft Skills
Strong CommunicationOutcome-Oriented MindsetStakeholder EngagementNavigating AmbiguityTechnical Presentation