Position Summary
The AI Full-Stack Engineer is responsible for designing, developing, implementing, and supporting enterprise AI solutions and modern business applications. This role combines full-stack software engineering expertise with artificial intelligence technologies to build secure, scalable, and reliable solutions that improve business operations, automate workflows, and enhance employee productivity.
Working closely with business stakeholders, product managers, architects, and IT teams, the AI Full-Stack Engineer translates business requirements into innovative AI-powered applications, intelligent agents, APIs, and integrations while ensuring solutions align with enterprise architecture, security standards, and AI governance policies.
Essential Responsibilities
AI Solution Development
- Design, develop, deploy, and maintain AI-powered applications, intelligent agents, and automation solutions.
- Build AI workflows utilizing Large Language Models (LLMs), Retrieval Augmented Generation (RAG), prompt engineering, semantic search, and vector databases.
- Develop reusable AI components, prompt libraries, templates, and services to accelerate future development.
- Integrate AI capabilities into existing business applications and enterprise platforms.
- Evaluate emerging AI technologies and recommend practical solutions that deliver measurable business value.
- Monitor AI solution performance and continuously improve accuracy, reliability, cost efficiency, and user experience.
Full-Stack Application Development
- Design, develop, test, and maintain modern web applications using front-end and back-end technologies.
- Build secure RESTful APIs, microservices, and system integrations.
- Develop responsive user interfaces that provide intuitive access to AI-powered capabilities.
- Create scalable application architectures that support enterprise growth and future enhancements.
- Troubleshoot and resolve application issues while ensuring high availability and performance.
Data Integration & Engineering
- Develop integrations with enterprise applications, databases, document repositories, and cloud services.
- Build data pipelines supporting AI applications and intelligent automation.
- Design and maintain vector indexes and semantic search capabilities.
- Ensure data quality, integrity, and security across all integrations.
Cloud & DevOps
- Deploy and support applications across cloud and hybrid environments.
- Develop and maintain CI/CD pipelines to automate application deployments.
- Utilize containerization and orchestration technologies to improve scalability and reliability.
- Monitor application health, logging, and operational performance.
Security, Governance & Compliance
- Develop solutions that comply with enterprise security, privacy, and regulatory requirements.
- Implement authentication, authorization, encryption, and secure coding practices.
- Follow established AI governance standards, responsible AI principles, and data management policies.
- Participate in architecture, security, and code reviews.
Collaboration
- Partner with business leaders and subject matter experts to identify opportunities for AI-enabled process improvements.
- Work closely with COO, Product Manager, Director of IT, and Software Developers throughout the solution lifecycle.
- Prepare technical documentation, solution designs, and operational procedures.
- Share knowledge and contribute to development standards and best practices.
Required Qualifications
- Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related discipline, or equivalent professional experience.
- Minimum of five years of experience developing enterprise software applications.
- Minimum of two years of experience building AI-enabled applications or implementing generative AI solutions.
- Experience delivering production-ready applications using modern software development practices.
- Strong analytical, problem-solving, organizational, and communication skills.
- Ability to manage multiple priorities in a fast-paced environment.
Technical Qualifications
AI Engineering
- Experience developing AI-powered applications and intelligent agents.
- Large Language Models (Anthropic Claude).
- Prompt engineering and prompt optimization.
- Retrieval Augmented Generation (RAG).
- AI orchestration frameworks.
- Model Context Protocol (MCP).
- Function calling and tool integrations.
- Vector databases and embeddings.
- AI evaluation, monitoring, and observability.
Databases
- SQL Server databases.
- Experience with vector databases or AI search technologies.
Cloud Technologies
Experience with Microsoft Azure including:
- AI services
- Serverless computing
- Containers and Kubernetes
- Storage services
- Identity and access management
DevOps
- Git
- Azure DevOps or GitHub
- CI/CD pipelines
- Docker
- Kubernetes
- Automated testing
Security
- OAuth 2.0
- Microsoft Entra ID
- Secure API development
- Secrets management
- Secure software development lifecycle (SSDLC)
Preferred Qualifications
- Experience implementing enterprise AI governance frameworks.
- Experience building multi-agent AI solutions.
- Experience integrating enterprise AI platforms such as Claude Enterprise.
- Knowledge of responsible AI, model governance, and AI risk management.
- Experience working in financial services or another regulated industry.
- Microsoft Azure, AWS, AI, or cloud-related certifications.
Core Competencies
- AI Engineering
- Full-Stack Software Development
- Enterprise Application Integration
- Cloud Architecture
- API Development
- Prompt Engineering
- DevSecOps
- Data Integration
- Agile Software Development
- Problem Solving
- Technical Communication
- Collaboration
- Continuous Learning
Success in This Role
The successful candidate will consistently deliver secure, scalable, and high-quality AI solutions that improve business efficiency and employee productivity. They will build reusable software components, automate business processes, integrate enterprise systems, and ensure AI applications operate securely, reliably, and in alignment with organizational governance standards. This individual will continually evaluate emerging AI technologies and recommend innovative solutions that create measurable value for the organization.
COMPENSATION | The AI Full-Stack Engineer is eligible to receive robust total rewards including generous flexible paid time off, tuition reimbursement, student loan repayment, relocation assistance, performance-based bonuses, 401k retirement plan with employer match and annual profit-sharing opportunity, medical/dental/vision insurance, health and wellness benefits, and disability and life insurance. PFM not only supports work/life balance but also a challenging, diverse, and collaborative workplace, a formal mentorship program, volunteer opportunities, and much more.
The anticipated base salary for this role is between $109,710 -$139,880. This position is also eligible for annual performance-based bonuses and an annual profit-sharing opportunity. Actual compensation is influenced by a variety of factors including but not limited to skills, experience, qualifications, and geographic location.
If you are ready to experience the challenge, satisfaction, and reward of an opportunity with PFM, please apply here, or refer a qualified candidate.
PFM is not offering visa sponsorship for this position.
PFM is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. PFM maintains a drug-free workplace. If you need assistance or accommodation due to a disability at any time during the application or hiring process, contact us via Careers on our contact form or call (215) 567-6100. Please note, this contact information is for accommodation requests only and should not be used for application status updates or other inquiries.