Forward Deployed Engineer — New York City Metropolitan Area

We're looking for talented Software Engineers who want to work at the intersection of AI, software engineering, and enterprise technology.

This is an opportunity to join a high-growth AI company building intelligent systems that help some of the world's largest organizations transform how they operate and get work done.

You'll work closely with enterprise customers, understanding their technical challenges and developing AI-powered solutions that solve complex, real-world problems. This isn't a traditional software engineering role where you'll simply work on tickets. You'll have significant ownership, work directly with customers, and see the impact of what you build firsthand.

What you'll be doing

• Design, develop, and deploy AI-powered agents capable of handling complex business and technical workflows.

• Work directly with enterprise customers to understand their processes, identify pain points, and translate business requirements into technical solutions.

• Build and maintain data pipelines that connect large, diverse datasets, internal knowledge bases, and enterprise systems.

• Develop custom applications and AI workflows across areas such as financial analysis, engineering, research, and business operations.

• Build integrations with existing enterprise tools and platforms, including Slack, Google Workspace, Linear, and internal systems.

• Collaborate with internal engineering and product teams to improve the underlying platform based on real-world customer feedback.

• Develop mechanisms for capturing user feedback and continuously improving AI system performance.

• Take ownership of projects from initial discovery and solution design through development, deployment, and ongoing optimization.

• Work alongside technical teams, business stakeholders, and senior leadership to drive successful implementations.

What we're looking for

• 2+ years of professional software engineering experience after graduation.

• Strong programming skills in Python, TypeScript/JavaScript, Java, or similar languages.

• Experience developing and shipping production-grade software, including APIs, backend systems, data pipelines, web applications, or integrations.

• Strong computer science fundamentals and an analytical approach to solving technical challenges.

• A degree or strong academic background in Computer Science, Software Engineering, Mathematics, Physics, or a related technical field.

• Genuine interest in AI, machine learning, and the practical applications of LLMs.

• Ability to navigate ambiguous problems, work independently, and take ownership of projects.

• Comfortable working directly with customers and translating complex business challenges into technical solutions.

• Willingness to travel approximately 25–50% when required, depending on customer engagements.

Nice to have

• Hands-on experience working with LLMs, AI agents, or machine learning systems.

• Previous experience in a customer-facing engineering, consulting, or professional services role.

• Familiarity with enterprise software and productivity ecosystems.

• Experience with cloud platforms such as AWS, GCP, or Azure.

• Knowledge of modern infrastructure, deployment, and DevOps practices.

• Exposure to industries such as financial services, telecommunications, biotech, consulting, or enterprise technology.

• Experience delivering technical projects with measurable business impact.

Why consider this opportunity?

• Work on cutting-edge AI technology that's being deployed in real-world enterprise environments.

• Take ownership of technically challenging projects with direct customer and business impact.

• Collaborate with a highly talented team of engineers and researchers from leading technology companies.

• Work in a fast-paced environment where you can influence product direction and engineering decisions.

• Gain exposure to complex enterprise problems across multiple industries.

• Enjoy the autonomy and ownership of a startup environment, backed by strong financial and institutional support.

Interested or know someone who could be a great fit?

Feel free to reach out directly or send me a message to learn more about the opportunity.

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