It is an exciting time to join Fisher Investments! We are expanding our Generative AI capabilities to support our international growth. We are looking for a Software Engineer who will design, build, and improve advanced AI applications using large language models, GPU‑accelerated computing, and modern API frameworks.
The Opportunity:
The Software Engineer will architect, implement, and improve production-ready generative AI systems, working closely with AI leads, ML engineers, and platform teams. You will develop solutions powered by LLMs, context engineering, and GPU-accelerated frameworks, using Azure, Databricks, graph databases, and scalable microservices to deliver high-performance, secure applications integrated with enterprise systems. 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
- Build and operate data ingestion, transformation, and orchestration pipelines using Databricks, Delta Lake, Auto Loader, and Workflows to support AI applications and retrieval systems
- Integrate graph databases into AI applications to model relationships and support graph-enhanced RAG and hybrid retrieval solutions
- Ensure AI models are explainable, reliable, and compliant with regulatory and internal governance standards
- Monitor and improve application and model performance using evaluation frameworks, observability tools, and iterative improvements to prompts, retrieval, context, and model configuration
Your Qualifications:
- Minimum of 6+ years of experience building data‑driven software solutions
- Minimum of 3+ years of hands-on AI development experience.
- Proficiency in Python, with practical experience building applications using LLMs, embeddings, vector databases, and RAG architecture.
- Demonstrated experience with generative AI models, including multimodal models.
- Hands-on experience developing and deploying AI applications using Azure Foundry, Docker, Kubernetes, and GPU-backed compute.
- Bachelor's degree in computer science, Artificial Intelligence, or a related field, or equivalent professional experience
- Experience fine-tuning, evaluating, and deploying models using Azure-managed AI services and compute resources
- Familiarity with agent frameworks and experience deploying AI agents with tool integration, appropriate permissions, and operational safeguards
- Experience building graph-enhanced RAG and hybrid retrieval solutions using graph databases such as Neo4j, Stardog, or Azure Cosmos DB for Apache Gremlin
- Experience deploying models with low latency and high throughput, using frameworks like vLLM and other GPU model deployment tools
- Hands-on experience building CI/CD pipelines and automated testing workflows for generative AI application
- Experience with distributed training, GPU optimization, and large-scale model frameworks (CUDA, RAPIDS)
Why Fisher Investments:
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.
FISHER INVESTMENTS IS AN EQUAL OPPORTUNITY EMPLOYER
Skills Required
- 6+ years of experience building data-driven software solutions
- 3+ years of hands-on AI development experience
- Proficiency in Python and experience with LLMs, embeddings, vector databases, and RAG architecture
- Experience with generative AI models, including multimodal models
- Experience developing and deploying AI applications using Azure AI Foundry, Docker, Kubernetes, and GPU-backed compute
- Bachelor’s degree in computer science, artificial intelligence, or a related field, or equivalent professional experience
- Experience fine-tuning, evaluating, and deploying models using Azure-managed AI services and compute resources
- Familiarity with agent frameworks and deploying AI agents with tool integration, permissions, and operational safeguards
- Experience building graph-enhanced RAG and hybrid retrieval solutions using Neo4j, Stardog, or Azure Cosmos DB for Apache Gremlin
- Experience deploying models with low latency and high throughput using vLLM or other GPU model deployment tools
- Experience building CI/CD pipelines and automated testing workflows for generative AI applications
- Experience with distributed training, GPU optimization, and large-scale model frameworks such as CUDA and RAPIDS
What We Do
Fisher Investments is a fee-only investment adviser serving private clients and institutional investors globally. It provides tailored investment management and personalized service, managing assets through U.S. private-client, institutional, and international private-client business units. Its clients include families, businesses, corporations, pension funds, foundations, governments, and other institutions, and it offers retirement-planning guides and investment insights to help clients pursue long-term financial goals.
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