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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 maintaining AI-powered features within SaaS applications, with strong proficiency in TypeScript, JavaScript, Elixir, and Python. Capable of designing and implementing LLM workflows while collaborating effectively with cross-functional teams to drive product adoption and customer retention.
Highest-signal resume keywords
Full-Stack EngineeringTypeScript and JavaScript ProficiencyLLM Workflow Design and EvaluationAI Coding Agents ExperienceProduct Mindset and Technical Solutions
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Full-Stack EngineeringTypeScriptJavaScriptElixirPythonLLM WorkflowsModel APIsRAGTool CallingAI Agents
Soft Skills
Clear CommunicationEffective CollaborationOwnership of Technical DecisionsIndependent Work
Tools & Technologies
Claude CodeWebSocketMCP ConnectorsEmbedded JavaScript SDKsAI Tools and Workflows
Industry Keywords
SaaS ApplicationsAI-Powered FeaturesProduct AdoptionUser OnboardingAI-First Product Architecture
Tech Stack
Tools & technologiesElixirJavaScriptPythonTypeScript
About the role
Key responsibilities & impact- Build and maintain AI-powered product features across frontend interfaces, backend services, APIs, the product builder, and Userflow's in-app SDK
- Develop end-to-end experiences for Userflow's Adoption Agent and other AI-driven capabilities
- Collaborate directly with the CTO and product team to define the technical roadmap and architecture for an AI-first product
- Design and implement production-ready LLM workflows, including prompt engineering, RAG, tool calling, agent orchestration, and evaluation systems
- Extend Userflow's MCP connector and build integrations for customers' AI tools and workflows
- Own the reliability, latency, and cost efficiency of AI features
- Establish metrics to measure technical performance and customer value
- Use AI coding agents such as Claude Code in everyday development while establishing workflows, guardrails, and best practices
- Work with product, design, engineering, and leadership to translate customer problems into technical solutions
- Ship at least one AI-powered feature to production within the first 90 days
- Improve the quality, performance, and delivery speed of AI-powered features
- Deliver AI features that improve product adoption and customer retention
- Establish reusable engineering patterns for building, evaluating, and deploying AI capabilities
- Contribute to Userflow's transition toward an AI-first product architecture
- Report directly to the CTO
Requirements
What you’ll need- 6+ years of professional experience building and maintaining production SaaS applications as a full-stack engineer
- Strong proficiency in TypeScript and/or JavaScript across frontend and backend development
- Experience with modern frontend frameworks and responsive, user-facing product interfaces
- Solid experience with Elixir and Python
- Understanding of high-volume WebSocket traffic and its impact on application architecture and infrastructure
- Hands-on experience building and shipping LLM-powered features in production, including model APIs, RAG, tool calling, or AI agents
- Experience designing and evaluating LLM workflows, including measuring output quality and reliability
- Daily experience using AI coding agents such as Claude Code or similar tools
- Ability to identify where human oversight and technical guardrails are necessary
- Strong product mindset and ability to translate user problems into technical solutions and measure results
- Ability to work independently, take ownership of technical decisions, and deliver features with minimal supervision
- Clear communication and effective collaboration with engineers, product stakeholders, and executive leadership
- English proficiency at C1 or C2 level
- Preferred: experience building MCP servers, connectors, or agent-oriented tooling
- Preferred: experience developing embedded JavaScript SDKs or in-app product experiences
- Preferred: familiarity with LLM observability, tracing, monitoring, and evaluation tools
- Preferred: experience with product-led growth, user onboarding, or product adoption platforms
- Preferred: experience designing scalable AI architectures and managing model performance and inference costs
- Preferred: experience working in small, product-focused engineering teams
- Must maintain strong working-hour overlap with US-based leadership and product engineering teams
Benefits
Comp & perks- Fully remote work arrangement
- USD-based compensation determined based on experience and technical expertise
- Direct collaboration with the CTO, product, and design teams
- Significant autonomy and direct impact on the product
- AI-driven engineering culture using AI coding agents
- Opportunity to shape an AI-first product
- End-to-end ownership across the full stack
- Work on features used by more than 12 million end users