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docker python kubernetes microservices rest apis📋 Description
- Design and maintain scalable, secure agent-driven services using modern AI frameworks.
- Build robust infrastructure and high-throughput APIs for core agent capabilities.
- Integrate agent capabilities with backend services, data stores, vector databases, and external APIs.
- Collaborate with product managers, AI researchers, data engineers, and UX teams to productionize use cases.
- Ensure reliability, monitoring, and observability for all agent components (metrics, logging, CI/CD, fault tolerance).
- Participate in architectural design decisions and code reviews to maintain quality.
🎯 Requirements
- 3+ years of professional software engineering experience in Python (production)
- Proficiency in native agentic coding using tools like Cursor, Claude Code, and other platforms
- Experience building distributed systems, microservices, or complex backend APIs for AI workflows
- Expertise integrating AI models, agent frameworks (e.g., LangChain), and vector databases
- Understanding of agent orchestration patterns, state management, and asynchronous workflows
- Experience with cloud platforms (AWS, GCP, Azure), Docker, Kubernetes, and DevOps practices
🎁 Benefits
- Generous PTO and 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 accounts and dependent FSA options
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