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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in AI workflow design, automation, and API integration while effectively collaborating with non-technical teams to implement AI solutions. Proficient in managing AI projects with a focus on metrics, ROI, and adherence to data privacy and ethical standards.
Highest-signal resume keywords
Proficiency In GoProficiency In JavaScriptExperience With Large Language ModelsAPI Integration ExperienceStrong Emotional Intelligence
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 DevelopmentAutomation DesignAI Workflow EvaluationVersion ControlTesting PracticesAgent DesignComplex Workflow ManagementPerformance BenchmarkingPrompt OptimizationTechnical Requirement Analysis
Soft Skills
High Emotional IntelligenceCollaborative Peer Trust BuildingAutonomous Work CapabilityBusiness-Friendly Communication
Tools & Technologies
JiraGitHubSalesforceSaaS Stack
Industry Keywords
AI DevelopmentData PrivacySecurityEthical UseOperational Cost Monitoring
Tech Stack
Tools & technologiesJavaScriptGo
About the role
Key responsibilities & impact- Shadow domain experts across departments to uncover workflows, pain points, and bottlenecks
- Design and ship automation, MVPs, custom scripts, and API integrations
- Mature solutions into managed, durable agents
- Define metrics with stakeholders, track adoption and ROI, and prioritize projects based on feasibility, risk, and business value
- Design, build, evaluate, and operate AI workflows
- Implement evaluation frameworks, guardrails, observability, and feedback loops
- Advise non-technical teams on evaluating, configuring, and using AI features in their SaaS stack
- Mentor peers in AI development and create reusable documentation and training
- Demonstrate emerging AI capabilities across the company
- Steer hosted harness and local harness development using problems, prototypes, and workflows developed with departments
- Benchmark model performance and optimize prompt/token usage
- Manage API latency and monitor operational costs
- Ensure department-level AI work follows company policies on data privacy, security, and ethical use
Requirements
What you’ll need- 3+ years of professional software development experience
- Strong proficiency in Go or JavaScript, ideally both
- Standard engineering practices, including version control and testing
- Hands-on experience building or contributing to applications with Large Language Models (LLMs) or managing complex workflows using AI tools
- Deep understanding of AI-powered projects, including agent design, skills, context, and memory
- Experience working with APIs and MCPs of company platforms such as Jira, GitHub, or Salesforce
- Ability to translate complex machine learning and engineering concepts into plain, business-friendly language
- Track record of analyzing business operations and formulating technical requirements from vague problems
- Ability to prioritize solutions based on ROI
- High emotional intelligence and comfort working autonomously inside non-technical departments
- Demonstrated ability to build trust as a collaborative peer
Benefits
Comp & perks- Exceptional health, vision, and dental care
- Opportunity for equity ownership
- Life and AD&D, short- and long-term disability
- Employee Assistance Program
- Employee Resource Groups
- Fun company outings and events
- Unlimited PTO
- 401K with company match