AI Fullstack Engineer

Start Date: Interview Types

Skills Hands-on experience .. Visa Types Green Card, US Citiz..

Client: Asset Management firm

Job Title: AI Fullstack Engineer

Location: Boston, MA (Onsite 3 days/week)

Duration: 9 months contract

Local candidates only

USC/GC holders only

Rate: 65-75/hr on W2

Full Stack engineer (AI)

Seeking a Full Stack engineer who can bring in AI thought leadership to the team.

Top Skills Required :

• Hands-on experience with AI-assisted coding tools (Claude Code, Cursor, or similar), with the ability to guide the team on best practices and avoid common pitfalls
• Strong Java engineering background with microservices architecture
• AWS cloud experience (Azure is a plus)

Industry Experience :

• No expectations on industry experience, but Asset Management or Financial Services is nice to have

Key Responsibilities

• Design, develop, and maintain Java-based backend services and APIs using Spring Boot within a DevOps delivery model on AWS
• Build and maintain CI/CD pipelines, infrastructure-as-code, and containerized deployments in AWS (ECS, Lambda, CloudFormation, or equivalent)
• Contribute to front-end development where needed, particularly React-based interfaces for internal tools and dashboards
• Implement performant, thread-safe solutions leveraging Java concurrency and multithreading patterns
• Serve as the team's AI SDLC practitioner - bring hands-on experience with AI coding assistants (Claude, GitHub Copilot) to establish best practices, guardrails, and effective workflows
• Share lessons learned from real-world AI tool usage - where assistants excel, where they hallucinate or produce brittle code, and how to structure prompts, skill files, and integrations for reliable output
• Support the team's adoption of Microsoft Foundry as the firm's AI platform, contributing to integration patterns and experimentation

Required Qualifications

• 5+ years of professional Java development with strong command of multithreading, concurrency, and design patterns
• Hands-on experience with Spring Boot for microservices and API development
• Working experience in a DevOps model on AWS - CI/CD, containerization, infrastructure automation
• Demonstrated, practical experience using AI coding assistants (GitHub Copilot, Claude, Cursor, or similar) in real delivery work - not just awareness, but an informed opinion on what works and what doesn't
• Understanding of AI-augmented SDLC practices including prompt engineering for code generation, managing skill files, knowledge files, AI-assisted code review, test generation, and documentation automation
• Familiarity with concepts such as skill files, MCP integrations, and IDE-level AI tooling configuration

Preferred Qualifications

• Front-end experience with React (component development, state management, API integration)
• Exposure to Microsoft Foundry or Azure AI services
• Familiarity with asset management domain concepts (portfolios, benchmarks, performance data, instrument types) - not required, but useful context
• Experience message queues, or event-driven architectures
• Familiarity with Python for scripting or data pipeline support

What We Value

• A builder who has already experimented, failed, and iterated with AI coding tools - and can fast-track the team past common pitfalls
• Strong engineering fundamentals paired with curiosity about how AI is reshaping how we write, test, and ship code
• Clear communicator who can translate technical AI tooling decisions into practical team guidance
• Ownership mentality with a bias toward shipping and continuous improvement