Applied AI Engineer

Location: NYC Employment Type: Full-time On-site: 5 days/week in-office

About the Role

Our client, an AI-first company backed by top-tier investors, is looking for an Applied AI Engineer to join their team. They are building a platform that applies AI to every step of bringing new therapies to market, ensuring patients get life-changing treatments as quickly and affordably as possible. This role is a high-impact opportunity to work on real-world production use cases of LLMs and other ML techniques to solve complex business problems.

This is a demanding role with a high level of autonomy. The client is looking for someone who can "act like an owner" and take end-to-end responsibility for projects, from initial definition and design through to launch and success.

What You'll Do

About the Role

We are a data science-driven special investigations unit that uses data across employers, insurers, and contractors to prevent fraud in the insurance space, with a focus on workers' compensation and personal injury fraud. We're building smarter, more predictive systems that will shape the future of fraud detection in blue-collar industries.

What We're Looking For

We need a talented Data Scientist to work at the intersection of data and engineering, applying statistical analysis, machine learning, and thoughtful experimentation to uncover fraud and assess labor risk. You should have a strong problem-solving mindset and excellent communication skills.

What You'll Do

• Design and implement statistical models and machine learning algorithms to detect fraudulent patterns.
• Analyze large-scale datasets to derive actionable insights for internal and customer-facing applications.
• Work cross-functionally with leadership, engineering, and users to align data initiatives with business goals.
• Collaborate closely with engineering and product teams to bring data science solutions into production.
• Shape the intelligence layer of our platform by applying thoughtful experimentation and model evaluation techniques.

Requirements

About the Role

We're an AI-native company leveraging AI to automate complex back-office workflows and tasks in the freight industry. Our mission is to unlock profits and lower costs by addressing the bad data and inefficient workflows that plague the supply chain. We’re expanding our AI team and are looking for a talented AI Engineer to build both AI models and features that directly impact our business. The role is broad, offering the opportunity to work on everything from training and deploying in-house multimodal Large Language Models (LLMs) to scaling our inference infrastructure and building AI agent workflows.

What You'll Work On

Your primary focus will be on document extraction and understanding, using multimodal LLMs to extract, normalize, and link data with a high degree of accuracy. You'll also work on scaling our machine learning platform to handle significant increases in training and inference volume. Future projects will include expanding our AI capabilities into workflow automation and audit using AI agents.

This role spans multiple domains:

We are building the next generation of conversational AI agents to automate workflows for businesses. Our platform is an AI-native help desk that allows human agents to work alongside AI, increasing automation over time. Our AI agents handle both reactive and proactive automation across various channels like calls, SMS, and email, while maintaining a single, coherent conversation thread. We are a small, fast-moving team with a mission to maximize conversational automation for high-touch businesses.

We need a motivated and ambitious Backend Engineer with hands-on experience building production backend systems. You should be comfortable hardening reliability, pushing down latency, evolving data models safely, and creating "paved roads" that make every other team faster. You'll thrive in our small, fast-paced startup environment where you can take on significant responsibility.

Requirements

Our client is a fast-growing AI company on a mission to equip accountants with a team of AI agents to take on real workflows. They've already achieved product-market fit, with demand exceeding their current supply. Backed by world-class investors like Keith Rabois, Nat Friedman, and Daniel Gross, they've raised over $30M to scale quickly and have seen 10x revenue growth in the last five months. They are partnered with some of the largest accounting firms in the world and have an interdisciplinary team of top minds in ML, engineering, and accounting.

As a leader on the World Modeling team, you'll be a key part of defining the context and rules in which AI agents operate. This is a critical role that involves designing and building the "world" for their AI systems. You'll work on complex problems, such as how to model and explain accounting to an AI agent, and define the constraints for navigating this complex world. This is a high-risk, high-reward role with significant ownership from day one.

You will be responsible for:

• Designing and building the core world for AI agents to interact with.
• Developing coding abstractions and modeling interconnected systems.
• Defining the context and rules for AI agents.
• Making critical technical decisions and debating trade-offs.

Requirements

Our client is a well-funded, early-stage AI company with a bold mission to reinvent wealth management. They are building a unified, AI-native platform to automate the entire wealth management stack, which is one of the largest and most fragmented sectors in financial services. With a $15.5M seed round from top-tier VCs like General Catalyst and Venrock, and a team of just three employees, this is a unique opportunity to join a de-risked company with extensive runway and existing partnerships.

As a Founding AI Engineer, you'll be employee number three and will play a mission-critical role in scaling the company from the ground up. You will own major technical domains and work directly with the founder to establish the core technical foundations. The ability to close the end-to-end process quickly is a key part of the company culture.

You will be responsible for:

• Building core platform components that unify fragmented wealth management tools.
• Designing and building end-to-end AI-powered workflows that automate financial advisor processes.
• Developing multi-agent AI workflows to deliver intelligent financial insights.
• Architecting scalable systems for real-time financial data orchestration.
• Making critical technical decisions with a high degree of autonomy.

Requirements

Our client is a well-funded, early-stage startup solving one of the most critical challenges in the AI industry: ensuring AI applications are safe, reliable, and ready for production. They are building a platform that provides best-in-class tools for evaluation, testing, and continuous improvement of AI models.

Founded in 2024, the company is already working with leading AI labs like OpenAI and Anthropic, as well as other major enterprises. Their team is composed of top talent from companies like Datadog, Citadel, and McKinsey, and they are backed by founders and executives from tech powerhouses such as Google, Stripe, and Databricks.

Our client is seeking a talented Full-Stack Software Engineer to build their AI reliability platform. In this role, you will have a direct impact on how AI is tested, verified, and deployed across the industry. You'll own the end-to-end development of new features, from designing user-facing workflows to creating reusable frontend components and visualizations for complex concepts.

You will also have the unique opportunity to:

• Collaborate directly with the research team on safe AI tooling.
• Interface with customers to design intuitive workflows and guide them in evaluation methodologies.

Requirements

Join our client's team as a Founding Engineer and help them to transform how companies hire tech talent. They are building assessment tools that simulate real technical interviews, and you'll be a key player in scaling their platform during a period of rapid growth. You'll work directly with their core team in NYC, taking ownership of projects and shipping features that directly impact how staffing firms evaluate and place technical talent. This is a chance to do more than just code, it's an opportunity to shape the future of our product from concept to completion.

Requirements

• Experience building and shipping full-stack web applications in a production environment.

• A strong foundation in React, TypeScript/JavaScript, and SQL.
• An interest in or experience with LLMs and AI systems is a plus.
• A proven track record of taking ownership and driving projects to the finish line.
• Comfort with ambiguity and the excitement of wearing multiple hats in a fast-paced startup environment.
• A passion for our mission of making technical hiring more equitable and effective.
• Must be able to work on-site in New York

If you're ready to make a significant impact and help us build a better hiring process, we'd love to hear from you.

Benefits

Our client is looking to hire a Founding AI Engineer to build the core of their AI-powered hiring platform. Their tools help companies hire top tech talent by detecting and preventing AI-assisted fraud, while accurately measuring a candidate's genuine skills. You'll be on the front lines of this fight, architecting the systems that analyse candidate behaviour, create dynamic challenges, and deliver insights that outperform traditional interviews.

Requirements

• Experience building production AI systems and LLM-powered applications
• Strong foundation in RAG architectures, prompt engineering, and AI pipeline design
• Hands-on experience with model context protocols (MCP) and orchestrating complex AI workflows
• Track record of implementing AI solutions that scale to thousands of concurrent users
• Deep understanding of embedding systems, vector databases, and retrieval optimization
• Comfort working across the entire AI stack – from infrastructure to application layer
• Excitement about pioneering new approaches to AI-powered evaluation and fraud detection

• Must be able to work on-site in New York

If you're ready to make a significant impact and help us build a better hiring process, we'd love to hear from you.

Benefits