AI Full Stack Engineer Manager

Crowe•Chicago, IL

3d•Remote

About The Position

Your Journey at Crowe Starts Here: At Crowe, you can build a meaningful and rewarding career. With real flexibility to balance work with life moments, you’re trusted to deliver results and make an impact. We embrace you for who you are, care for your well-being, and nurture your career. Everyone has equitable access to opportunities for career growth and leadership. Over our 80-year history, delivering excellent service through innovation has been a core part of our DNA across our audit, tax, and consulting groups. That’s why we continuously invest in innovative ideas, such as AI-enabled insights and technology-powered solutions, to enhance our services. Join us at Crowe and embark on a career where you can help shape the future of our industry. Job Description: Senior Full-Stack Engineer About Crowe AI Transformation Everything we do is about making the future of human work more purposeful. Crowe’s AI Transformation Studio leverages state-of-the-art technologies, modern architectures, and deep industry expertise to build AI-powered solutions that transform how organizations operate. This team builds on Crowe’s established Applied AI and Machine Learning foundation, combining Generative AI, Machine Learning, and Software Engineering to help clients reimagine and evolve their business models—regardless of where they are in their AI adoption journey. As a member of AI Transformation, you’ll help differentiate Crowe in the market and directly shape the firm’s technology and innovation strategy. The future is powered by AI—come build it with us. About the Team We invest in expertise. You’ll have the time and support to go deep technically, working alongside engineers, product leaders, and project managers as a trusted technical leader. We believe in continuous growth. Learning, experimentation, and knowledge-sharing are core to how we work. We protect balance. Our distributed team culture is built on trust and flexibility, offering unlimited PTO, flexible remote work options, and a sustainable approach to high performance. About the Role We’re hiring a Senior Full-Stack Engineer to help build intelligent workflow orchestration and ERP automation platforms powered by agentic AI. This is a hands-on role focused on designing and delivering production-grade systems that integrate large language models with real-world enterprise software. You’ll own services end to end—from backend architecture and API orchestration to supporting front-end workflows—while collaborating closely with AI engineers and data scientists. This role is ideal for someone excited by complex integration challenges, distributed systems, and applying GenAI in practical, high-impact ways.

Requirements

7+ years of professional software engineering experience with full-stack systems.
Proven experience building and operating cloud-based, distributed applications.
Experience integrating AI/ML or Generative AI systems into production environments.
Strong expertise in modern front-end frameworks (React, Vue, or Angular).
Backend development experience with Python, Node.js, or similar languages.
Deep understanding of APIs, microservices, and cloud architecture.
Hands-on experience with AWS, Azure, or GCP; Docker; Kubernetes; and CI/CD pipelines.
Familiarity with LLM integration patterns, RAG workflows, and vector databases (e.g., Pinecone, FAISS, Weaviate).

Nice To Haves

Experience with ERP systems or enterprise automation platforms.
Exposure to LangChain, LlamaIndex, or agent-based AI frameworks.
Technical leadership or mentoring experience.
Bachelor's degree in Computer Science, Software Engineering or related fields preferred

Responsibilities

Design and build full-stack applications that integrate Generative AI and machine learning capabilities.
Architect and implement backend services, APIs, and cloud-native systems that scale securely and reliably.
Integrate LLMs, agentic frameworks, and retrieval-augmented generation (RAG) pipelines into enterprise workflows.
Collaborate with AI engineers to productionize model pipelines, vector search, and inference services.
Support front-end experiences that surface AI-driven insights and dynamic outputs.
Ensure high standards for code quality, testing, observability, security, and responsible AI.
Troubleshoot complex production issues across distributed systems and AI components.
Contribute to shared engineering standards, patterns, and platform evolution.
Mentor other engineers and influence technical direction within the team.