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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing AI-first SaaS products with a focus on compliance, leveraging LLM application patterns and CI/CD pipelines. Proficient in secure coding practices and system design, with a strong emphasis on documentation and team mentorship.
Highest-signal resume keywords
Python ProgrammingReact DevelopmentAWS (Lambda, DynamoDB)LLM Application PatternsCI/CD Pipeline Integration
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
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Hard Skills
Software EngineeringSaaS Application DevelopmentAutomated TestingAPI SecuritySystem DesignCode ReviewPrompt DesignAgent OrchestrationMulti-Tenant ArchitectureSpec-Driven Development
Soft Skills
Clear CommunicationMentorshipProblem Solving
Tools & Technologies
Amazon BedrockAnthropicOpenAIMCP ToolsAgent Frameworks
Industry Keywords
Workforce ComplianceData PrivacySecurity StandardsSOC 2GDPRCCPAAI Risk GovernanceNIST AI RMFOWASP Top 10 for LLM Applications
Tech Stack
Tools & technologiesAWSDynamoDBPythonReact
About the role
Key responsibilities & impact- Build AI-first SaaS products for workforce compliance
- Develop LLM-powered workflows, retrieval over compliance content, and agents that take action inside products
- Break down high-level product goals into modular engineering tasks with specifications and acceptance criteria
- Develop and optimize CI/CD pipelines incorporating AI agents for code generation, automated testing, and intelligent code review
- Design and test prompts, specifications, repository context, agent instruction files, reusable skills, and MCP tools
- Conduct in-depth reviews of human- and AI-generated code for quality, security, scalability, and domain alignment
- Ensure human- and AI-created designs follow architectural best practices and modularity
- Develop domain models, technical documentation, and internal knowledge bases
- Write secure code and avoid OWASP vulnerabilities, including OWASP Top 10 for LLM Applications
- Participate in an on-call rotation and respond to production issues, including AI feature degradations
- Help teammates resolve complex problems and design/architecture challenges
- Mentor teammates on effective and responsible use of AI agents
- Provide constructive code-review feedback and support engineering culture
Requirements
What you’ll need- Possess a bachelor’s degree, or equivalent experience
- Minimum of 5 years of software engineering experience developing SaaS applications
- Strong hands-on experience with Python, React, and AWS (Lambda, DynamoDB)
- Hands-on experience with LLM application patterns: prompt design, embeddings and vector search/RAG, tool/function calling, structured outputs, and agent orchestration
- Demonstrated experience delivering software with AI coding agents such as Claude Code, Devin, or Codex, including integrating agents into CI/CD pipelines with automated quality gates
- Experience designing evaluation and testing strategies for non-deterministic systems
- Strong fundamentals in system design, API security, automated testing, and multi-tenant SaaS architecture
- Clear, precise written communication for specifications and documentation
- Experience with managed model platforms and provider APIs such as Amazon Bedrock, Anthropic, or OpenAI (preferred)
- Experience with agent frameworks or SDKs (preferred)
- Shipped at least one AI/LLM-powered feature to production in a SaaS product and supported it after launch (preferred)
- Experience building MCP servers or other tool integrations for AI agents (preferred)
- Background in regulated domains and data privacy/security standards such as SOC 2, GDPR, or CCPA (preferred)
- Familiarity with AI risk and governance practices such as NIST AI RMF or OWASP Top 10 for LLM Applications (preferred)
- Experience with spec-driven development (preferred)
Benefits
Comp & perks- Health, Dental & Vision Insurance
- 401 (k) + Employer Match
- Open PTO
- 11 Paid Holidays
- 4 Annual Paid Global Wellness Days Off
- STD, LTD & Group Life Insurance
- Paid Parental Leave
- Pet Insurance
- FSA & HSA Options
- Employee Assistance Program
- Remote Work
- Career Advancement & Professional Development Opportunities
- Employee Recognition
- LinkedIn Learning Platform