PRIMARY GOALS / OBJECTIVES
The AI/Python API Engineer is a core technical contributor whose primary expertise is building AI/LLM agentic features exposed via APIs in Python within an [strong style=box-sizing: inherit; margin: 0px; padding: 0px;]enterprise cloud environment. The role is responsible for designing, building, and maintaining a FastAPI (Python) backend that integrates large language models and other AI capabilities into enterprise production-grade services running on AWS. The defining requirements for this position are deep, hands-on experience across the areas of: AI agents, API development, Python, enterprise cloud (AWS preferred), and day-to-day use of Claude Code. These are the essential competencies; remaining skills, frontend and security, are valuable but secondary.
The engineer uses AI-assisted development tooling, Claude Code in particular, as a central part of their workflow to plan, write, review, and ship high-quality code quickly.
[strong style=box-sizing: inherit; margin: 0px; padding: 0px;]KNOWLEDGE / SKILLS
Primary expertise (required):
- Possess deep, hands-on experience with the AWS Strands agent framework (or equivalent) building AI/LLM-driven agentic features: prompt design, tool/function design and calling, observability, retrieval-augmented generation (RAG), streaming responses, token/cost management, guardrails, and evaluation of model outputs.
- Maintain expert-level proficiency in Python, including modern idioms, async programming, typing, and testing.
- Demonstrate strong API development skills: designing and building robust, performant APIs (FastAPI strongly preferred), including async request handling, Pydantic data modeling, authentication/authorization, versioning, rate limiting, observability, and OpenAPI contracts.
- Demonstrate substantial enterprise cloud experience, AWS preferred: building and operating production workloads with services such as Lambda, ECS/Fargate, API Gateway, S3, RDS, Secrets Manager, IAM, and CloudFormation/SAM, following infrastructure-as-code and cloud-governance practices.
- Demonstrate effective, day-to-day use of Claude Code and AI-assisted development workflows to plan, write, review, and refactor code responsibly, increasing throughput without sacrificing quality.
- Demonstrate critical problem-solving and debugging skills across AI, API, backend, and cloud concerns.
- Demonstrate clear and concise written and verbal communication, including the ability to document technical decisions for technical and non-technical audiences.
- Demonstrate the ability to prioritize and multi-task in a high-volume, rapidly paced environment.
[strong style=box-sizing: inherit; margin: 0px; padding: 0px;]Nice to have (not required):
- Experience with React 19 / TypeScript and modern frontend integration with backend APIs.
- Information security and/or security architecture experience: secure SDLC, threat modeling, IAM/least-privilege design, and secrets/data-protection practices.
[strong style=box-sizing: inherit; margin: 0px; padding: 0px;]PROJECT/PROCESS MANAGEMENT
- Design and implement FastAPI endpoints and services that expose AI/LLM capabilities securely and performantly.
- Integrate and operationalize LLM/AI features — prompt engineering, model selection, guardrails, and output validation — into production workflows.
- Deploy and operate application infrastructure in an enterprise AWS environment, following infrastructure-as-code practices.
- Use Claude Code and AI-assisted tooling as a primary part of the development process to accelerate delivery while maintaining quality.
- Establish and maintain automated testing, CI/CD, logging, and monitoring for reliable, on-time delivery.
- Participate in code reviews and uphold coding and API-design standards.
- Communicate progress, risks, and technical trade-offs to stakeholders in a timely, accurate manner.
- (Nice to have) Contribute to the React 19 / TypeScript frontend as needed.
[strong style=box-sizing: inherit; margin: 0px; padding: 0px;]ACCOUNTABILITY / SCOPE
- Reports to the Engineering Lead / Technical Manager.
- Partners with product, data/ML, and platform/cloud teams on project initiatives.
- Accountable for the technical design, implementation, and operational health of the AI-driven Python API services and their cloud infrastructure.
- Accountable for adherence to coding, security, cloud-governance, and compliance standards across all delivered work.
- Adherence to all company-wide engineering, data-handling, and cloud-governance policies.
[strong style=box-sizing: inherit; margin: 0px; padding: 0px;]QUALIFICATIONS
Required:
- Bachelor''''''''s degree in Computer Science, Engineering, or a related field (or equivalent practical experience).
- Substantial professional experience building production APIs in Python — typically 5–8+ years of software engineering experience.
- Demonstrated experience delivering AI/LLM-driven applications (prompting, RAG, tool use, output evaluation).
- Hands-on experience with FastAPI or a comparable modern Python API framework.
- Demonstrated enterprise cloud experience, AWS preferred, building and operating production workloads.
- Practical, demonstrable experience using Claude Code (or equivalent AI-assisted development tooling) in a professional workflow.
- Strong communication skills: verbal, written, and technical documentation.
[strong style=box-sizing: inherit; margin: 0px; padding: 0px;]Desirable / nice to have:
- Master''''''''s degree or equivalent related technical experience.
- React 19 / TypeScript frontend experience.
- Information security and/or security architecture experience.
- Experience working in regulated, high-visibility enterprise environments.
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