Full Stack Developer

Location:

Detroit, MI
** On-site
** NOT REMOTE Type:
Full-time Clearance:
No Clearance Required About Us

Eccalon provides global solutions to the most challenging technological issues of the 21st-century, and our evolving portfolio spans five major markets:
Machine Learning, Cybersecurity, Aerospace & Defense, Material Sciences, Advance Manufacturing, Sports Science, Biotechnology, and Health & Life Sciences.
Visit our website here.

Eccalon's Executives foster a supportive work environment allowing our teams to thrive, and have a fierce dedication to innovation, security, and people. Our culture is built on inclusion, teamwork, trust, and we are committed to offering career advancement opportunities to all employees. Encouraging a healthy and balanced life, we offer an extensive benefits package to support the wellness of our employees and their families.

You will be joining a team of innovators, working with cutting edge technologies, supporting mission critical projects, and making an impact.

Eccalon is seeking a Full Stack Developer to design, build, and ship production software across a portfolio of DoD, Intelligence, and enterprise programs. You will own features end-to-end—from React front-ends and Next.js applications through Node.js/Python APIs and AWS-hosted data stores—and actively leverage LLM and AI-assisted development techniques to accelerate delivery and enhance product capabilities. You will work closely with cross‑functional teams including Dev Ops, UX/UI design, and program leadership in a security-conscious, compliance-driven environment.

• Design, develop, and maintain full-stack web applications from UI through API to data layer, with ownership of features across the entire delivery lifecycle.
• Build front-end architecture and UI components using React and Next.js; create reusable component libraries that support consistent UX across multiple products.
• Integrate LLM and AI capabilities into product features using the Anthropic API (Claude) and other model providers; apply prompt engineering, retrieval-augmented generation (RAG), and agentic workflow patterns to build intelligent, context-aware application experiences.
• Translate designs and wireframes into high-quality, accessible, responsive code; leverage AI-assisted development tools (e.g., Claude Code) to accelerate implementation without sacrificing quality or security.
• Develop and maintain back-end services and REST APIs using Node.js and Python; design for security, scalability, and compliance from the start.
• Integrate front-end applications with back-end APIs and AWS cloud services (Cognito, Lambda, API Gateway, DynamoDB, RDS/PostgreSQL); implement authentication flows including OAuth2/OIDC and JIT provisioning.
• Implement security and data protection measures aligned to NIST 800-171 and CMMC requirements; apply OWASP Top 10 mitigations and participate in code-level security reviews.
• Write clean, well-tested, and well-documented code; contribute to and enforce engineering standards through trunk-based development and peer code review.
• Conduct thorough code reviews with a focus on security, maintainability, and AI-generated code validation; mentor junior engineers on best practices.
• Troubleshoot and debug complex issues across the full stack, including integration points with LLM APIs, cloud services, and third-party authentication providers.
• Design and manage relational and No
  
  SQL data models across PostgreSQL, DynamoDB, and MongoDB; optimize queries and data access patterns for performance and cost.
• Apply structured prompt engineering techniques—chain-of-thought, few-shot examples, tool use, and system prompt design—to build reliable, production-ready LLM-powered features; evaluate and mitigate prompt injection, hallucination, and data leakage risks.
• Partner with UX/UI designers, product managers, and Dev Ops to deliver features end-to-end; translate program requirements into scalable technical solutions.
• Stay current on advancements in LLM/AI tooling, web frameworks, and cloud-native development; bring new techniques back to the team through demos, documentation, and knowledge sharing.