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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 implementing scalable agent-driven services using modern AI frameworks, with a strong focus on integrating AI models and backend services. Proficient in Python, distributed systems, and operational engineering best practices, ensuring reliability and performance optimization.
Highest-signal resume keywords
Python ProgrammingAgent Framework IntegrationDistributed Systems DevelopmentAWS/GCP/Azure ExperienceDocker and Kubernetes Proficiency
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonAgentic CodingDistributed SystemsMicroservicesBackend APIsPerformance OptimizationTesting FrameworksCI/CD PipelinesAsynchronous WorkflowsState Management
Soft Skills
Excellent CommunicationCollaboration SkillsProblem-Solving Mindset
Tools & Technologies
CursorClaude CodeLangraphAgent HarnessVector DatabasesReactTypeScriptDockerKubernetes
Industry Keywords
AI FrameworksAgent-Driven ServicesObservabilityMonitoringOpen-Source Contributions
Tech Stack
Tools & technologiesAWSAzureDistributed SystemsDockerGoogle Cloud PlatformKubernetesMicroservicesPythonReactTypeScript
About the role
Key responsibilities & impact- Design, implement, and maintain scalable, secure agent-driven services and systems using modern AI frameworks
- Develop and enhance infrastructure and high-throughput APIs for memory, communication channels, skills, intelligent decision logic, security, and workflow management
- Integrate agent capabilities with backend services, data stores, vector databases, search/retrieval systems, and external APIs
- Collaborate with product managers, AI researchers, data engineers, and UX teams to turn agent use cases into production-ready software
- Ensure reliability, monitoring, and observability for agent components, including metrics, logging, CI/CD, and fault tolerance
- Contribute to architectural design decisions and participate in rigorous code reviews
Requirements
What you’ll need- 3+ years of professional software engineering experience
- 3+ years of Python experience in production environments
- Proficiency in native agentic coding, including daily use of tools such as Cursor, Claude Code, and other agentic coding platforms
- Experience building distributed systems, microservices, or complex backend APIs supporting AI/agent workflows
- Expertise integrating AI models, agent frameworks such as Langraph and Agent Harness or platform-specific tooling, vector databases, and large context reasoning services
- Understanding of agent orchestration patterns, state management, and asynchronous workflows
- Experience with AWS, GCP, or Azure
- Experience with Docker and Kubernetes
- Operational engineering best practices
- Knowledge of performance optimization, testing frameworks, and CI/CD pipelines
- Excellent communication and collaboration skills, with a “connect + challenge + own” mindset
- Past work on AI agents coordinating multi-step actions, reasoning, or autonomous decision-making loops
- Contributions to open-source agent toolkits or SDKs
- Experience with React and TypeScript for agent management interfaces
Benefits
Comp & perks- Generous PTO, plus company holidays
- Medical, dental, and vision coverage for you and your family
- Paid parental leave for all parents (16 weeks)
- Fertility and family planning support
- Early-detection cancer testing through Galleri
- Flexible spending account and dependent FSA options
- Health savings account for eligible plans with company contribution
- Wellness stipend for gym, massage/chiropractor, personal training, etc.
- Learning and development stipend
- Company-wide off-sites and team off-sites
- Competitive compensation
- Company stock options
- 401k
