Note: The job is a remote job and is open to candidates in USA. PFM is seeking an AI Full-Stack Engineer to design, develop, implement, and support enterprise AI solutions and modern business applications. The role combines full-stack engineering, artificial intelligence, data integration, cloud, DevOps, security, and governance responsibilities to deliver secure, scalable solutions that improve business operations and employee productivity.

Responsibilities

• 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
• 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
• 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
• 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
• 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
• 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

Skills

• * 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
• * 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
• * SQL Server databases
• * Experience with vector databases or AI search technologies
• Experience with Microsoft Azure including:
• * AI services
• * Serverless computing
• * Containers and Kubernetes
• * Storage services
• * Identity and access management
• * Git
• * Azure DevOps or GitHub
• * CI/CD pipelines
• * Docker
• * Kubernetes
• * Automated testing
• * OAuth 2.0
• * Microsoft Entra ID
• * Secure API development
• * Secrets management
• * Secure software development lifecycle (SSDLC)
• * 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

Benefits

• Generous flexible paid time off
• Tuition reimbursement
• Student loan repayment
• Relocation assistance
• Annual performance-based bonuses
• 401k retirement plan with employer match
• Annual profit-sharing opportunity
• Medical/dental/vision insurance
• Health and wellness benefits
• Disability and life insurance
• Work/life balance
• A challenging, diverse, and collaborative workplace
• Formal mentorship program
• Volunteer opportunities

Company Overview