TSR Consulting
Python Developer (Tampa)
Hybrid, 6+ month contract-to-hire Python/AI engineer role in Tampa, FL placed by staffing firm TSR Consulting. The engineer builds and ships full-stack features across React frontends, Python microservices (FastAPI/Flask/Django), AWS cloud backends with Terraform IaC, using AI-assisted coding tools like Claude Code and GitHub Copilot.
- Compensation
- Not disclosed
- Location
- Tampa, United States
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Contract
- Experience
- 8+ years
- Category
- Software engineering
- Posted
Skills
Must have
- Proficiency in React.js, TypeScript/JavaScript, responsive CSS, and component systems (Material UI or Tailwind CSS)
- Strong backend engineering in Python using FastAPI, Flask, or Django with RESTful or GraphQL APIs, authentication, and async processing
- Database expertise with PostgreSQL and document/NoSQL stores, including schema design, query optimization, and data consistency
- Cloud experience with AWS services (Lambda, S3, CloudFront, API Gateway, RDS PostgreSQL) plus Terraform for IaC
- Hands-on CI/CD and Git/GitHub workflows, automated testing, and observability
- Practical proficiency with AI-assisted development tools and coding agents (e.g., Claude Code, GitHub Copilot, Devin AI) with critical evaluation of outputs
- 2 to 8+ years in professional software engineering with evidence of product outcomes and technical leadership
Nice to have
- Experience designing modular service architectures and reusable UI systems in an autonomous pod model
- Background in hypothesis-driven development, rapid prototyping, and metrics-based product validation
Full description
TSR Consulting is currently seeking a highly motivated Python/AI Engineer for an opportunity in Tampa, FL HybridPosition Title: Python/AI EngineerLocation: Tampa, FL HybridAnticipated Start Date: ASAPExpected Duration: 6+Months Contract to hireJob Type: HybridJob Description:
We are seeking a Product Engineer (AI-Augmented & Full-Stack Systems) to join our dynamic team. The ideal candidate will have strong experience in modern full-stack development, cloud-native architectures, and AI-assisted engineering tools and a proven ability to design, build, and ship scalable products from prototype to production while leading technical standards within a pod.
Responsibilities:
- Build, prototype, and ship end-to-end features from whiteboard to production across React frontends, Python microservices, and cloud backends.
- Leverage AI-assisted development workflows (Claude Code, GitHub Copilot) to accelerate delivery and validate architectures.
- Drive hypothesis-driven product engineering with targeted experiments and interactive prototypes to inform product direction.
- Architect scalable, resilient systems using AWS services, clean API contracts, and Infrastructure-as-Code.
- Establish lightweight patterns, reusable UI components, and shared utilities to enable high-velocity delivery.
- Provide technical thought leadership, review AI- and human-authored code, and enforce correctness, security, and performance.
- Define automated testing strategies, CI/CD governance, and observability practices.
- Mentor engineers through pair programming and architectural discussions while modeling modern engineering practices.
Required Skills & Qualifications:
- Proficiency in React.js, TypeScript/JavaScript, responsive CSS, and component systems such as Material UI or Tailwind CSS.
- Strong backend engineering in Python using FastAPI, Flask, or Django with RESTful or GraphQL APIs, authentication, and async processing.
- Database expertise with PostgreSQL and document/NoSQL stores, including schema design, query optimization, and data consistency.
- Cloud experience with AWS services such as Lambda, S3, CloudFront, API Gateway, and RDS PostgreSQL, plus Terraform for IaC.
- Hands-on CI/CD and Git/GitHub workflows, automated testing, and observability.
- Practical proficiency with AI-assisted development tools and coding agents (e.g., Claude Code, GitHub Copilot, Devin AI) with critical evaluation of outputs.
- Experience level: 2 to 8+ years in professional software engineering with evidence of product outcomes and technical leadership.
Preferred Skills:
- Experience designing modular service architectures and reusable UI systems in an autonomous pod model.