OS
AI Forward Deployment Engineer
Accepting applicationsOpen Systems Technologies · New York, NY
Full-Time Mid_senior AIPythonaiatemachine learning
Posted
1d ago
Category
Test
Experience
Mid_senior
Country
United States
A financial firm is looking for an AI Forward Deployment Engineer to join their team in New York, NY.
Compensation: $200-300k
U.S. Citizens or GC Holders only; No visa sponsorship
This is a full-time opportunity; No c2c or third party candidates
Candidates must be local; No relocation
Responsibilities:
Deploy large language models (LLMs), predictive models, and decision systems into live financial environments
Work with front-office and risk teams to identify high-value AI use cases and rapidly prototype solutions
Integrate AI systems with trading platforms, market data feeds, and internal financial systems
Optimize model performance for latency-sensitive environments
Design secure, compliant AI infrastructure aligned with financial regulatory standards
Implement monitoring, evaluation, and guardrails for model risk management
Work with research teams to adapt frontier models for financial applications
Qualifications:
5–7+ years of experience in software engineering, machine learning engineering, or applied AI
Strong Python proficiency; experience with ML frameworks
Experience deploying AI/ML systems into production environments
Knowledge of cloud infrastructure (AWS, Azure, or GCP) and containerization (Docker, Kubernetes)
Strong understanding of APIs, distributed systems, and data pipelines
Experience in quantitative finance, algorithmic trading, or risk systems
Experience working with LLMs, retrieval-augmented generation (RAG), and AI safety practices
Background in low-latency systems or high-frequency environments
Show more Show less
Compensation: $200-300k
U.S. Citizens or GC Holders only; No visa sponsorship
This is a full-time opportunity; No c2c or third party candidates
Candidates must be local; No relocation
Responsibilities:
Deploy large language models (LLMs), predictive models, and decision systems into live financial environments
Work with front-office and risk teams to identify high-value AI use cases and rapidly prototype solutions
Integrate AI systems with trading platforms, market data feeds, and internal financial systems
Optimize model performance for latency-sensitive environments
Design secure, compliant AI infrastructure aligned with financial regulatory standards
Implement monitoring, evaluation, and guardrails for model risk management
Work with research teams to adapt frontier models for financial applications
Qualifications:
5–7+ years of experience in software engineering, machine learning engineering, or applied AI
Strong Python proficiency; experience with ML frameworks
Experience deploying AI/ML systems into production environments
Knowledge of cloud infrastructure (AWS, Azure, or GCP) and containerization (Docker, Kubernetes)
Strong understanding of APIs, distributed systems, and data pipelines
Experience in quantitative finance, algorithmic trading, or risk systems
Experience working with LLMs, retrieval-augmented generation (RAG), and AI safety practices
Background in low-latency systems or high-frequency environments
Show more Show less