AI Engineer

Domyn; New York (NY); On-site; USD 150,000 - 210,000; Full time

Benefits offered by this job

Competitive compensation

Performance bonuses

Comprehensive benefits

Job summary

Domyn is seeking an AI Engineer to join our team in New York, building production‑grade AI systems for financial workflows and deploying agentic platforms with strong safety guardrails. You will work across cross‑functional teams to turn complex concepts into powerful business applications.

You will design, implement, and optimize core AI capabilities, deploy models in production, and collaborate with engineering, product, research, and customer teams to integrate AI into mission‑critical

Qualifications

• Degree in CS/Engineering or related field.
• 3+ years in Software/ML/AI engineering with scalable AI deployments.
• Strong Python and production‑level coding skills.
• Experience deploying AI models in production environments.

Responsibilities

• Build and maintain Agentic AI Systems for complex tasks in finance.
• Develop APIs and integration points within the product ecosystem.
• Ensure AI models are secure, auditable, and compliant with standards.
• Optimize pipelines for performance and latency.
• Implement model evaluation, monitoring, and continuous improvement.
• Troubleshoot complex AI system issues and implement fixes.
• Stay current with AI engineering and LLM deployment techniques.
• Collaborate with researchers and financial SMEs to translate requirements into solutions.

Skills

Python

NumPy

Pandas

Scikit-learn

Production code

LLMs

Transformers

Cloud platforms

CI/CD

Git

Education

Bachelor's or Master's in CS/Engineering

Tools

MLflow

Kubeflow

Docker

Kubernetes

AWS

GCP

Azure

Git

Job description

We are hiring an AI Engineer to join our team and help build the next generation of AI solutions for financial workflows. This role is focused on the hands‑on engineering and deployment of robust, scalable AI systems, working alongside cross‑functional teams to turn technical concepts into powerful business applications.

You will apply your expertise to design, implement, and optimize our core AI capabilities. This role involves building production‑grade agentic platforms, integrating safety and compliance guardrails, and solving the unique engineering challenges of complex, agentic workflows.

You’ll collaborate closely with our engineering, product, research, and customer teams to integrate advanced AI solutions directly into mission‑critical financial applications. As we deploy sophisticated agents across diverse data environments, you’ll play a key role in developing the reasoning engines and retrieval systems that power them.

This is an opportunity to grow your career at the forefront of AI adoption in financial services, solving complex challenges and contributing to the intelligence behind innovative enterprise solutions.

Key Responsibilities

• Build and maintain Agentic AI Systems capable of delivering complex tasks such as navigating enterprise‑scale inventories of structured and unstructured information sources, optimizing portfolio construction and evolving trading strategies in the financial industry.
• Develop APIs and integration points for AI services within our product ecosystem
• Ensure AI models are secure, auditable, and compliant with industry standards.
• Optimize AI models and agentic pipelines for performance, latency, and resource utilization.
• Implement systems for model evaluation, monitoring, and continuous improvement
• Troubleshoot complex issues in AI systems and implement solutions.
• Stay current with emerging techniques in AI engineering and LLM deployment.
• Collaborate with researchers and financial SMEs to translate prototypes and business requirements into technical solutions fully integrated with the rest of the platform.

What You Have

• Bachelor's or Master's degree in Computer Science, Engineering, or related technical field.
• 3+ years of experience in Software/ML/AI engineering, with a proven track record of delivering scalable AI solutions ideally on financial systems.
• Strong Python programming skills and experience with data science libraries, e.g., NumPy, Pandas, Scikit‑learn, writing efficient production‑level code, which is well‑written and explainable.
• Experience with deploying and scaling AI models in production environments.
• Familiarity with large language models, transformer architectures, and generative AI.
• Knowledge of cloud platforms (AWS, GCP, Azure) and containerization technologies.
• Understanding of software engineering best practices (git, version control, CI/CD, testing).
• Experience with ML engineering tools and platforms (MLflow, Kubeflow, etc.)
• Strong problem‑solving skills and attention to detail.
• Ability to collaborate effectively in cross‑functional teams.

What Would Be Nice to Have

• Experience in the Financial Services industry (FinTech, Investment Banks, Fund Managers, etc.).
• Knowledge of distributed computing, large‑scale model training, agentic framework design.
• Experience with real‑time inference systems and low‑latency AI services.
• Active contributor to open‑source concepts or AI frameworks.
• Knowledge of vector and graph databases and knowledge graphs.

Benefits

Domyn offers a competitive compensation structure, including salary, performance‑based bonuses, and additional components based on experience. All roles include comprehensive benefits as part of the total compensation package.

About Domyn

Domyn is a company specializing in the research and development of Responsible AI for regulated industries, including financial services, government, and heavy industry. It supports enterprises with proprietary, fully governable solutions based on a composable AI architecture — including LLMs, AI agents, and one of the world’s largest supercomputers.

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