Salesforce Developer

FastAPI AI Agents Governance Kubernetes Caregiving Scalability Investments Microservices Observability AI/ML Inference Computer Science Machine Learning Docker (Software) Software Solutions Workflow Management Artificial Intelligence Large Language Modeling Cloud-Native Architecture Python (Programming Language) Retrieval Augmented Generation Machine Learning Model Training Generative Artificial Intelligence Artificial Intelligence Infrastructure Application Programming Interface (API), As an AI Engineer on our Data & AI team, you'll design, build, and improve AI solutions that are secure, scalable, and integrated into real workflows. You'll partner closely with AI leads, ML engineers, and application developers to bring AI capabilities into production in a predictable and scalable way. You will report to the AI Team Leader, Technology Innovation.

The Day-to-Day:

• Design, develop, fine-tune, and deploy generative AI models into scalable production environments
• Build and maintain APIs and microservices using FastAPI to expose AI capabilities enterprise wide
• Collaborate with the AI Infrastructure team to architect robust LLM pipelines, including training workflows and retrieval-augmented generation (RAG) systems
• Integrate AI solutions into enterprise applications using secure, cloud-native architectures and best practices
• Ensure AI models are explainable, reliable, and compliant with regulatory and internal governance standards
• Continuously monitor and optimize model performance using evaluation frameworks, observability tools, and iterative fine-tuning, Graphics Developer Actalent Beaverton, OR*Remote Debugging Visionary Innovation Mathematics Reliability Mammography File Systems Memory Leaks .NET Framework Multithreading Windows Desktop Windows Service Computer Science Systems Analysis Windows Software Operating Systems Microsoft Windows Memory Management Systems Engineering Process Architecture Artificial Intelligence C++ (Programming Language) Critical Illness Insurance Inter-Process Communication Application Programming Interface (API) +0

Salesforce Developer Senior AI Developer Fisher Investments Camas, WAOn-Site CI/CD FastAPI AI Agents Governance Kubernetes Caregiving Scalability Investments Microservices Observability AI/ML Inference Computer Science Machine Learning Docker (Software) Software Solutions Workflow Management Artificial Intelligence Large Language Modeling Cloud-Native Architecture Python (Programming Language) Retrieval Augmented Generation Machine Learning Model Training Generative Artificial Intelligence Artificial Intelligence Infrastructure Application Programming Interface (API) +0 Software Developer Actalent Portland, ORRemote Billing ASP.NET Debugging Usability Visionary Leadership Innovation Code Review Scalability RESTful API Communication .NET Framework Version Control Problem Solving Agile Methodology Financial Systems Apache Subversion Contract Management Software Development Business Requirements Application Deployment Multitier Architecture Team Foundation Server Artificial Intelligence Microsoft Visual Studio C# (Programming Language) SQL (Programming Language) Critical Illness Insurance Git (Version Control System) Systems Development Life Cycle Software Development Life Cycle HyperText Markup Language (HTML) JavaScript (Programming Language) Asynchronous Javascript and XML (AJAX) Application Programming Interface (API)

• Demonstrated experience building and evolving software solutions with increasing scope
• Experience designing and delivering data-driven applications that solve meaningful business problems
• Extensive experience using Python to develop scalable solutions across a range of business or technical challenges
• Hands-on experience building AI-powered solutions using large language models (LLMs), embeddings, and retrieval-augmented generation (RAG) approaches
• Familiarity with generative and multimodal AI models and their real-world applications
• Experience working with cloud-based AI infrastructure and modern development practices, including CI/CD pipelines and containerized environments (e.g., Kubernetes, Docker)
• Bachelor's degree in Computer Science, AI, or a related field (or equivalent professional experience), * GPU-accelerated training and inference using NVIDIA technologies, including NIM and NeMo frameworks
• Familiarity with AI agentic frameworks and deploying AI agents in production environments

• $125,000 - $165,000 base salary per year in the state of WA. New hires should expect to start at the lower end of the range depending on experience
• Eligible for a discretionary bonus based on firm and individual performance, We work for a bigger purpose: bettering the investment universe. We take great pride in our inclusive culture, our learning and development framework customized for every employee, and our Great Place to Work Certification. It's the people that make the Fisher purpose possible, and we invest in them by offering exceptional benefits like:
• 100% paid medical, dental and vision premiums for you and your qualifying dependents
• A 50% 401(k) match, up to the IRS maximum
• 20 days of PTO, plus 10 paid holidays
• Family Support programs including 8 week Paid Primary Caregiver Leave, $10,000 fertility, family forming, and hormonal health assistance, and back-up child, adult, and elder care
• This is an in-office role. Based on your role, tenure, and performance eligibility you may have the opportunity to participate in our hybrid work from home program. This program is subject to change.

This is an exciting and pivotal time to join Fisher Investments. Our Technology & Transformation organization is expanding its Generative AI capabilities to support international growth and modernize how critical departments operate across the firm. In this role, you'll help shape how AI is responsibly designed, built, and deployed at scale-moving beyond experimentation into production ready, enterprise solutions. You'll work with AI engineers, platform teams, and partners who value thoughtful design, collaboration, and long-term impact over quick fixes. Fisher Investments is proud to be a Great Place to Work Certified organization that invests in learning, growth, and career development.