Applied AI/ML Engineer

Applied AI / Machine Learning Engineer

Location: New York, NY Metro Area (On-Site)

About The Opportunity Join 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.

Responsibilities

• System 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 & Benefits

• Competitive 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.

We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, ethnic origin, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. OP Recruiting, a member of the Objective Partners family of specialized talent solution providers, uses AI-assisted tools, including Alex by Apriora, to support our recruiting process. These tools may review application materials and analyze interview responses to provide insights about a candidate's experience and qualifications. AI output informs our recruiters; decisions about whether to advance or present a candidate are made by people. Learn more about our use of AI, including how to request an accommodation: https://www.oprecruiting.com/ai-in-our-hiring-process. Accepting Candidates