Platform Product Engineer

Responsibilities

We are representing a confidential fintech organization seeking a Platform Product Engineer to join their fully remote engineering team. In this role, you will act as a technical leader bridging platform architecture and AI-driven product development.

Your core responsibilities include:

• Architect and deliver complex platform systems and customer-facing AI product features, ensuring high performance, observability, and scalability
• Balance core platform engineering responsibilities with product engineering priorities, translating business and user needs into seamless technical execution
• Design and maintain foundational platform infrastructure to empower product teams to build, test, and ship AI-native capabilities rapidly and safely
• Drive the engineering of automated validation frameworks to verify AI-generated features and core business logic against strict financial standards
• Anticipate architectural pressure points and resolve bottlenecks before they impact roadmap delivery
• Champion the use of modern coding tools, agentic SDLC, and product-focused AI workflows to maximize engineering velocity and product quality
• Architect, deploy, and support production-grade platform infrastructure and AI product features, including agentic workflows and interactive user experiences
• Decompose vague software requirements into staged execution plans that mitigate risk and enhance delivery predictability
• Establish and maintain robust automated validation and verification discipline for AI models and business logic
• Integrate AI/ML models with existing backend and frontend systems
• Manage and optimize AWS services including ECS, Lambda, Postgres, DynamoDB, S3, Bedrock, and Amplify for scalable AI and platform infrastructure
• Mentor mid-level and junior engineers through rigorous design guidance, thorough code reviews, and the promotion of AI-native best practices
• Communicate outcomes, technical details, and challenges to both technical and non-technical audiences

What We're Looking For

Required qualifications:

• 6+ years of professional software engineering experience in the fintech domain, with a strong focus on platform development, ERP integrations, or SaaS applications
• Bachelor's degree in Computer Science, AI, Data Science, or equivalent practical experience
• Demonstrated experience leveraging AI-assisted coding tools (e.g., GitHub Copilot, Cursor, Claude Code) to accelerate development and design robust AI features
• Strong programming proficiency in Python and JavaScript/TypeScript with proven experience handling complex backend architecture
• Strong database skills, both relational (SQL) and non-relational storage
• Proven ability to lead complex projects from ambiguity to successful production delivery in an asynchronous, globally distributed environment
• Hands-on expertise with AWS platform services (including ECS, Lambda, Postgres, DynamoDB, S3, Bedrock, and Amplify), cloud infrastructure management, and deployment pipelines for scalable AI workloads
• Strong judgment in verification discipline and experience designing automated testing solutions for high-consequence business logic
• Clear and effective written and verbal communication skills in English
• Proficiency in AI-assisted coding, including building and maintaining custom skills and integrating with Model Context Protocols (MCPs)

Nice to have:

• Familiarity with data science principles and hands-on experience with model tuning

How We Work With You

As a specialized recruiting firm, Get A Job.ai partners with leading technology companies to identify exceptional talent. When you apply through our platform at getajob.ai, our recruiting team will conduct an initial screening to understand your background and career goals. If there's a strong match, we will submit your profile to our client for consideration and guide you through their interview process.

Please note: candidates should apply exclusively through Get A Job.ai and should not contact the client directly during the recruitment process. Our team will serve as your advocate and main point of contact throughout.

The technical interview focuses on high-level system design and real-world engineering challenges rather than traditional algorithm exercises. Candidates will collaborate with interviewers on an interactive system design exercise, and access to an AI coding assistant during the interview is recommended.

Pay

Compensation details will be discussed during the screening process with our recruiting team based on experience and location.

Equal Opportunity

Get A Job.ai is committed to inclusive hiring practices. We welcome and encourage applications from candidates of all backgrounds and experiences.