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