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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and building AI-powered tools and backend services, with a strong focus on integrating AI systems into developer workflows. Proficient in software engineering practices, including API development, automated testing, and continuous integration.
Highest-signal resume keywords
Python Software DevelopmentAPI Design and ImplementationAI Tools and Large Language ModelsGit and CI/CD WorkflowsKubernetes and Cloud Deployment
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonAPI DevelopmentAI Coding ToolsAutomated TestingContinuous IntegrationKotlinJavaGoTypeScriptObservability
Soft Skills
Problem-SolvingCommunicationCollaboration
Tools & Technologies
GitCI/CD SystemsDocumentation PlatformsInternal Developer EnvironmentsCommand-Line ToolsIDE Integrations
Certifications & Qualifications
Bachelor’s Degree in Computer ScienceSoftware Engineering
Industry Keywords
AI-Powered ToolsAgentic WorkflowsDistributed Software ArchitecturesRetrieval-Augmented GenerationModel EvaluationEngineering Productivity ToolingSecurity and Privacy PracticesResponsible AI Practices
Tech Stack
Tools & technologiesCloudJavaKotlinKubernetesPythonTypeScriptGo
About the role
Key responsibilities & impact- Design, build, test, and operate AI-powered tools and services for software developers
- Develop agentic workflows, reusable skills, tool integrations, and orchestration capabilities
- Integrate AI tools with source control, CI/CD systems, issue trackers, documentation platforms, and internal developer environments
- Build secure, observable, reliable, and maintainable backend services and APIs
- Apply software engineering practices including evaluation, testing, monitoring, and feedback loops to manage the non-deterministic nature of AI systems
- Work directly with developers to understand workflows, identify improvement opportunities, and iterate based on real-world feedback
- Contribute to technical design discussions and evolve the architecture of the AI development platform
- Improve engineering processes, documentation, and operational practices across the team
Requirements
What you’ll need- Software development experience using Python
- Experience designing, building, testing, and operating backend services or developer-facing tools
- Hands-on experience designing and implementing APIs within distributed software architectures
- Practical experience using or developing with large language models, AI coding tools, or agentic AI systems
- Experience working with Git, automated testing, and continuous integration and delivery workflows
- Bachelor’s degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience (preferred)
- Strong problem-solving and communication skills, with the ability to collaborate effectively in a cross-functional team
- Experience developing AI agents, reusable skills, tool-calling integrations, prompts, evaluation frameworks, or agent harnesses
- Familiarity with retrieval-augmented generation, embeddings, context management, and model evaluation
- Experience building internal developer platforms, command-line tools, IDE integrations, or engineering productivity tooling
- Knowledge of Kotlin, Java, Go or TypeScript
- Understanding of Kubernetes, containers, and modern cloud deployment practices
- Experience with observability, security, privacy, and responsible AI practices
- Familiarity with relational, document-based, or vector datastores
Benefits
Comp & perks- Opportunities to grow and build
- Collaborative global team environment