AI / Full Stack Engineer

The Software Engineer 4 will consult on complex, high-impact software engineering initiatives focused on advanced automation, AI, and enterprise application development. This role blends full-stack engineering with emerging AI capabilities, requiring the ability to design, implement, and evaluate intelligent systems at scale. The engineer will collaborate across business and technology teams to deliver forward-looking solutions, while navigating enterprise controls, compliance, and governance requirements. This role is hands-on, fast-paced, and conversion-eligible. Day-to-Day Responsibilities:

• Consult on and contribute to complex, multi-faceted software engineering initiatives
• Design and develop full-stack enterprise applications
• Build and evaluate AI-enabled solutions, ensuring robustness and scalability
• Architect and implement agentic AI frameworks for autonomous workflows
• Apply best practices for AI testing, evaluation, and error analysis
• Collaborate with peers and stakeholders to identify forward-looking automation solutions
• Lead or influence fast-track teams delivering advanced AI/ML solutions
• Navigate enterprise environments to align teams, dependencies, and deliverables
• Work effectively in Agile scrum teams, including globally distributed teams
• Ensure solutions align with policies, procedures, and compliance requirements

• 5+ years of Software Engineering experience, supporting complex, enterprise-scale initiatives.

• Strong hands-on experience with full-stack enterprise software development using:

• Java, .NET, or Python

Experience with modern UI frameworks, including:

• React, Angular, and/or Node.js

Ability to work as a hands-on developer and self-starter, quickly ramping up in a fast-paced environment.

Strong collaboration and communication skills, including experience working with globally distributed Agile teams.Desired / Advanced Qualifications:

2+ years of AI experience, including:

• Test-driven or evaluation-driven AI development
• Data and error analysis for AI model robustness

Experience architecting and implementing agentic frameworks for:

• Autonomous multi-step reasoning
• Planning and orchestration

Strong understanding of:

• Parsing, chunking, indexing, and re-ranking techniques

Experience with Generative AI Operations and enterprise-scale AI adoption strategies

Exposure to AI model lifecycle management, compliance, and risk mitigation

Solid understanding of human-centered AI design for workplace applications

Experience working in large financial institutions (nice to have)Job Summary

Apex Systems is a world-class IT services company that serves thousands of clients across the globe. When you join Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRated's Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico. Apex uses a virtual recruiter as part of the application process. Click for more details.