FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and implementing scalable AI-driven services, with a strong focus on integrating agent capabilities and ensuring system reliability. Proficient in Python and experienced with cloud platforms, containerization, and performance optimization.
Highest-signal resume keywords
Python ProgrammingAgent Framework IntegrationDistributed Systems DevelopmentCloud Platform ExperienceDocker And Kubernetes
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 EngineeringAI FrameworksMicroservicesBackend API DevelopmentPerformance OptimizationTesting FrameworksCI/CD PipelinesAsynchronous WorkflowsState ManagementAgent Orchestration Patterns
Soft Skills
Excellent CommunicationCollaboration SkillsProblem-Solving Mindset
Tools & Technologies
AWSGCPAzureDockerKubernetesCursorClaude CodeLangGraphAgent HarnessReact
Industry Keywords
AI AgentsAgentic CodingVector DatabasesLarge Context ReasoningOpen-Source Contributions
Tech Stack
Tools & technologiesAWSAzureCloudDistributed 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 agent 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, demonstrated through daily use of tools like 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 (e.g., LangGraph, 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 cloud platforms such as AWS, GCP, or Azure
- Experience with Docker and Kubernetes
- 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 frontend technologies such as React and TypeScript for agent management interfaces
Benefits
Comp & perks- Generous PTO, plus company holidays
- Comprehensive medical and dental insurance
- Paid parental leave for all parents (16 weeks)
- Fertility and family planning support
- Competitive pension scheme and 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 and company stock options