Applied AI/ML Engineer

Reference: 26374Location: New York, NY, United StatesIndustry: Trading FirmPosted: 2026-07-28Contact: Ethan HudsonEmail: View email address on us.fitly.work: 13176505687Applied AI / Machine Learning EngineerLocation: New York, NY Metro Area (On-Site)About the OpportunityJoin a high-velocity, centralized technology group building the foundational artificial intelligence platform for a leading financial services organization. This hands-on, code-first role focuses on designing state-of-the-art agentic workflows, custom LLM infrastructure, and high-throughput retrieval systems directly driving business outcomes. You will bridge the gap between bleeding-edge generative models and production-grade execution in a fast-paced, highly quantitative environment.ResponsibilitiesSystem Architecture & Deployment: Design and maintain high-efficiency AI infrastructure, including dynamic model routing, automated evaluation frameworks, and low-latency inference setups on dedicated hardware.Agentic Framework Development: Construct autonomous multi-agent systems to automate software development, complex document analysis, and large-scale data workflows across distributed systems.Enterprise Search & Retrieval: Scale search architectures leveraging advanced Retrieval-Augmented Generation (RAG) models, vector storage solutions, and tailored embedding pipelines.Stakeholder Collaboration: Work alongside cross-functional domain experts and analysts to convert complex operational and research challenges into production-ready, AI-driven applications.MLOps Implementation: Establish robust MLOps practices, including continuous deployment pipelines, model monitoring, version control, drift management, and systematic quality evaluation metrics.Requirements (Must-Have)6+ years of software engineering and machine learning experience (or 4+ years paired with an advanced quantitative degree).Exceptional Python programming skills paired with deep experience in deep learning frameworks such as PyTorch or JAX.Proven experience building production applications with advanced LLM orchestration tools, structured output architectures, and protocol-driven tool integration.Direct experience utilizing vector storage solutions, container technologies, and deploying applications on distributed cloud environments (AWS, Azure, or GCP).Strong technical focus on system optimization, compute efficiency, latency reduction, and a commitment to shipping reliable production code.Preferred Qualifications (Nice-to-Have)Prior background delivering advanced AI tools or alternative data pipelines within quantitative finance, investment management, or premier technology firms.Proficiency in a compiled programming language (such as C++, Go, or Java).Solid grounding in traditional statistical machine learning methodologies (time-series analysis, clustering, regression) alongside generative models.Compensation & BenefitsCompetitive base compensation package paired with performance-based incentive opportunities.Access to high-performance computational hardware and specialized proprietary data assets.Comprehensive medical, dental, and vision insurance coverage.Equal Opportunity Employer: All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, or protected veteran status.#LI-EH1