Source description
About the role
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).
More at AHEAD
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