Fisher Investments · 1 day ago
AI Engineer
Fisher Investments is expanding its Generative AI capabilities to support international growth, and they are seeking an AI Engineer. The role involves designing, building, and optimizing advanced AI applications, particularly leveraging large language models and GPU-accelerated computing.
Financial Services
Responsibilities
Develop, fine-tune, and deploy Generative AI models (LLMs, embeddings, RAG pipelines, multimodal models) into production environments
Optimize GPU‑accelerated training and inference using NVIDIA technologies (NIM and NEMO Framework)
Apply NVIDIA NIMs for model optimization and scaling, and use NeMo services for model development and fine-tuning
Build scalable APIs and microservices using Fast API to expose AI capabilities across the enterprise
Collaborate with AI Infrastructure team to design robust LLM pipelines for model training and retrieval‑augmented generation
Integrate AI systems with enterprise applications using secure, cloud-native architectures
Ensure AI models are explainable, reliable, and compliant with regulatory and internal governance standards
Work with cloud-native AI infrastructure (Azure Foundry, Kubernetes, Docker, vector databases, GPU clusters, Guardrails)
Monitor and improve model performance through evaluation frameworks, observability tools, and continuous optimization
Qualification
Required
10+ years of experience building data‑driven software solutions, with a strong focus on AI and machine learning
5+ years of experience as an AI Engineer or Software Engineer specializing in Generative AI and LLM‑based systems
5+ years of advanced Python expertise, with a deep proficiency in AI/ML frameworks such as TensorFlow, PyTorch, and Scikit‑learn, plus hands‑on experience with LLMs, embeddings, and RAG architectures
Experience with distributed training and GPU optimization, including CUDA, RAPIDS, and frameworks used for large‑scale model training
Familiarity with modern data and feature pipelines, including Spark, Databricks, and Kafka, supporting high‑volume AI workloads
Hands‑on experience with CI/CD for ML and GenAI workflows, along with containerization and orchestration using Docker and Kubernetes
Strong knowledge of algorithms, data structures, and ML system design
Practical experience deploying on Azure AI services, and use NVIDIA NeMo and NIMs for LLM and generative AI workloads
Bachelor's degree in computer science, Machine Learning, or related field
Benefits
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
Company
Fisher Investments
Fisher Investments is an independent, fee-only investment adviser.
H1B Sponsorship
Fisher Investments has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (26)
2024 (23)
2023 (16)
2022 (28)
2021 (8)
2020 (7)
Funding
Current Stage
Late StageTotal Funding
unknown2024-06-16Private Equity
Recent News
Investment News
2026-01-22
2025-11-25
2025-11-22
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