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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and shipping AI products, with a strong foundation in software engineering and systems design. Capable of transforming legacy organizations into AI-native environments while ensuring compliance and safety in regulated lending contexts.
Highest-signal resume keywords
AI Product DevelopmentSoftware Engineering FundamentalsML/AI Systems DesignTechnical Influence Across TeamsCompliance and Safety Standards
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AI Product DevelopmentSoftware EngineeringML/AI Systems DesignSystems EngineeringData PlatformsCode StructuringAgentic Engineering WorkflowsEvaluation HarnessesObservabilityCompliance Guardrails
Soft Skills
Decision-MakingCollaborationMentorshipJudgmentAlignment with Stakeholders
Industry Keywords
Regulated LendingPII HandlingModel RiskAuditabilityAI-Native Transformation
About the role
Key responsibilities & impact- Evolve Kueski's existing services, data platforms, and pipelines into systems that AI agents and models can operate on safely and effectively
- Decide what infrastructure to wrap, refactor, expose, or retire, and sequence the transformation
- Structure and make Kueski's code, data, business logic, documentation, and operational state retrievable for LLMs and agents
- Own the retrieval, memory, and knowledge-representation layer
- Redefine software development around agentic engineering workflows covering specifications, coding, review, testing, and deployment
- Set standards, tooling, and guardrails that integrate AI into the development lifecycle
- Design and ship agentic systems for internal workflows
- Take at least one high-stakes AI capability through production and demonstrate its impact with data
- Establish evaluation harnesses, observability, and safety/compliance guardrails for AI in a regulated lending environment
- Address PII handling, model risk, and auditability
- Build reusable platforms and reference implementations
- Increase engineering-wide AI-native fluency through collaboration and mentorship
- Turn one-off successes into self-sustaining capabilities
Requirements
What you’ll need- Experience building and shipping AI products
- Strong perspective on transforming legacy organizations into AI-native ones
- 10+ years building software
- Several years designing and shipping ML/AI systems in production at scale
- Strong systems and software engineering fundamentals
- Track record of Staff+ technical influence and setting direction across multiple teams
- Ability to make high-ambiguity decisions with incomplete information
- Judgment on the build/buy/fine-tune/prompt spectrum
- Ability to optimize for outcomes and cost
- Ability to align engineers, PMs, and risk/compliance stakeholders
- Ability to provide direct technical opinions when necessary
Benefits
Comp & perks- Diversity and inclusion initiatives
- Reasonable accommodations during the hiring process
- Collaborative, innovative, and inclusive workplace culture