Product Engineer (AI-Augmented & Full-Stack Systems)

Grow your career as a Product Engineer with an innovative global bank in Tampa, FL. Contract role with strong probability of extension and conversion. Will require working a hybrid schedule of 3 days onsite per week.

Join one of the world's most renowned global banks and trusted brand with over 200 years of continuously evolving financial services worldwide. You will work alongside some of the smartest minds in the industry who are excited to share their knowledge and to learn from you.

Contract Duration: 6+ months
Required Skills & Experience

• 2-8+ years of professional software engineering experience, depending on technical depth, seniority, and leadership scope.
• Ability to lead and mentor other engineers while remaining hands-on
• Demonstrate strong curiosity, observance, and drive.
• Strong technical proficiency in:
  • React, JavaScript, TypeScript, UI/UX
  • Node.js, Python, Java, REST APIs
  • PostgreSQL, MySQL, MongoDB, Data Modeling
  • System Design, Microservices, Modular Architecture
  • AWS, Azure, Google Cloud Platform
  • CI/CD, Docker, Kubernetes
  • AI-assisted Development, GitHub Copilot, AI Workflows
  • Technical Leadership, Mentoring, Engineering Standards
  • Product Thinking, Technical Discovery, End-to-End Ownership

What you'll be doing: 1. Build, Prototype & Ship End-to-End
Act as a primary hands-on builder in an autonomous pod, taking features from whiteboard design through full-stack implementation to production deployment.
Leverage modern AI-assisted development workflows (Claude Code, GitHub Copilot) to rapidly prototype, iterate on user interfaces, and build high-performance backend services.
Deliver resilient, clean, and maintainable code across the entire stack-spanning responsive React frontends, Python microservices, and cloud-native backends.

2. Drive Hypothesis-Driven Product Engineering
Partner closely with product managers and domain experts to deconstruct complex user journeys and identify the highest-leverage technical solutions.
Design quick, low-cost technical experiments and interactive prototypes that generate high-signal user feedback before committing to full-scale architecture.
Challenge assumptions at every stage-focusing relentlessly on solving the right problem and measuring real product outcomes rather than raw engineering activity.

3. Architect Scalable, Resilient Cloud Systems
Design robust, modular system architectures and clean API contracts that scale cleanly across enterprise workloads.
Make deliberate build-vs-configure-vs-orchestrate decisions, leveraging modern serverless primitives (AWS Lambda, S3, CloudFront), PostgreSQL, document/data stores (PostgreSQL / RDS PostgreSQL), and Infrastructure-as-Code (Terraform).
Establish lightweight architectural patterns, reusable UI components, and shared service utilities that enable the pod to move with high velocity without accumulating unsustainable technical debt.

4. Provide Technical Thought Leadership & Rigorous Validation
Serve as the technical benchmark and final line of validation for complex codebases and system architectures-whether authored by engineers or generated by AI tools.
Maintain deep technical fluency to spot correctness bugs, security vulnerabilities, edge cases, and performance bottlenecks in AI-generated output.
Define and champion automated testing strategies (unit, integration, and end-to-end), CI/CD governance, and modern observability practices.
Mentor fellow engineers through pair programming, architectural discussions, and sharing reusable mental models.