Must have

• 4+ years of software engineering experience, with significant time in Python building production services.

• Hands-on experience integrating with LLMs or AI services (e.g., AWS Bedrock, OpenAI, Anthropic, LangChain, AgentCore, or similar).

• Strong experience with API design and implementation (REST/JSON; GraphQL a plus).

• Solid understanding of data modeling, persistence, and integration (SQL/NoSQL, queues, event-driven patterns, etc.).

• Working proficiency with modern frontend frameworks (React preferred; Vue/Angular acceptable with willingness to work in React).

• Ability to take Figma/wireframes/design specs and implement responsive, accessible UI using a component library / design system (e.g., Tailwind + component kits).

• Experience with cloud-native development on at least one major cloud (AWS preferred) and containerization/orchestration concepts.

• Familiarity with secure coding practices, authentication/authorization patterns (OAuth/OIDC, RBAC), and observability (logging, metrics, tracing).

• Comfortable working in an agile environment with iterative delivery, backlog tracking (e.g., Jira), and collaboration tools.

Nice to have

• Experience building or integrating with agentic AI workflows (multi-agent graphs, tools, guardrails, human-in-the-loop flows).

• Knowledge of event-driven architectures, message buses, and workflow engines.

• Experience with infrastructure-as-code (Terraform, CloudFormation) and CI/CD in cloud environments.

• Background working on platform or shared services used by multiple product teams.

• Familiarity with design systems and reusable UI component libraries (e.g., shadcn, Material).