Full Stack Engineer (AI)

We are currently partnered with a digital consultancy that is looking to hire a Full Stack Software Engineer specializing in AI development (Claude Code, Cursor, or similar). This is a 6-month contract position to start with the potential to extend or convert full-time. Candidates must work fully on-site in their Boston, MA office 5 days per week.

Job Description/Overview:

Contract Start: ASAP

Contract End: Expected to end 12/31/2026

Location: Onsite, Boston, MA

Interview Process: 1-2 internal video interviews

Top Skills Needed:

Front End: React

Back End: Java, Spring Boot (Microservices)

AI: Claude, Github, Copilot)

Cloud: AWS (Azure is a plus)

Industry: Prior Financial experience is preferred

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