Full Stack Engineer

Team: Information Technology

Location: United States

Workplace Type: remote

What you’ll do

• Design, build, and maintain backend services in Python, including REST/GraphQL APIs and integrations with internal and external systems. 

• Implement and integrate AI/LLM-powered workflows (e.g., RAG, agentic workflows, orchestration, prompt/guardrail patterns). 

• Work across our agentic platform stack to connect services, tools, and data sources into reliable, observable workflows. 

• Translate UX designs and design systems into clean, maintainable frontend code (React), wiring up APIs, state, and components. 

• Collaborate with product, UX, and other engineers to break down requirements, estimate work, and deliver in iterative increments. 

• Write readable, testable code with appropriate unit/integration tests and participate in code reviews. 

• Help ensure engineering standards, tooling, and CI/CD practices for secure, scalable AI workloads. 

• Diagnose and resolve issues across the stack (backend, integrations, and frontend behavior).

• Use agentic development for rapid quality code and be excited about staying at the forefront of AI skills. 

Core skills & experience

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). 

What success looks like in this role

• You can own a feature end to end: from API design and AI integration through to a functional UI, without heavy supervision on the frontend. 

• You move quickly but safely, shipping incremental value while maintaining code quality, reliability, and security. 

• You collaborate well with product, UX, and other engineers, and you’re comfortable operating in an evolving Enterprise AI platform context.