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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building AI foundations and product experiences, with a strong focus on TypeScript and Node.js for backend and frontend development. Capable of designing and implementing agent frameworks, managing performance metrics, and collaborating effectively with cross-functional teams.
Highest-signal resume keywords
TypeScript/Node FundamentalsAgent Framework DesignLLM-Based Software DevelopmentDebugging and Performance ManagementCollaboration with Cross-Functional Teams
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Software EngineeringTypeScriptNode.jsAgent DesignPrompt EngineeringDebuggingEvaluations and TracingLLM DevelopmentSystem DesignPerformance Optimization
Soft Skills
CollaborationMentoringCommunication
Tools & Technologies
AI PlatformsMCP ServerWeb ApplicationsAgent Frameworks
Industry Keywords
AI FoundationsAgentic SoftwareReal-Time Data AnalysisUser Feedback SystemsProduct Development
Tech Stack
Tools & technologiesNode.jsTypeScript
About the role
Key responsibilities & impact- Build AI foundations and product experiences including the Ledgy Agent, tools, skills, MCP server, and platform capabilities for safely embedding AI
- Design and build the system behind the in-app agent for real actions and analysis on live equity data
- Design tools, skills, context, orchestration, and request-handling logic for the agent
- Shape the Ledgy MCP server and determine what capabilities to expose safely
- Build evaluations, tracing, and feedback systems to measure and improve agent quality
- Design reusable AI foundations for the web application, agent, MCP, and other teams
- Design backend infrastructure for scaling usage, cost, latency, reliability, and observability
- Own meaningful parts of the AI platform and influence investment priorities
- Spend time with customers to understand administrator usage and inform product decisions
- Collaborate with engineers, product managers, and designers
- Contribute to code reviews, architecture, long-term technical decisions, and technical direction
- Mentor engineers and help teams across Ledgy add AI to their products
Requirements
What you’ll need- 5+ years of experience working as a Software Engineer
- Strong TypeScript/Node fundamentals across back end and front end
- Experience building and shipping agentic or LLM-based software to production
- Experience debugging failures in real conversations and managing cost and latency as usage and models change
- Experience designing agents, including tools and skills, context and prompt engineering, state, streaming, and the agent loop
- Strong knowledge of at least one agent framework or runtime
- Experience using evaluations, regression sets, tracing, and real-usage feedback
- Hands-on experience building with LLMs strongly preferred
- Ability to collaborate with engineers, product managers, and designers
- Ability to participate in product, architecture, and technical-direction decisions
Benefits
Comp & perks- Flexible working hours
- 25 days of vacation
- Up to 40 days of remote work from outside your home country
- Generous yearly learning & development budget
- Competitive salary
- Benefits
- Equity
- Hybrid work model for London-based candidates: 2 days in the office per week