Forward Deployed Engineer, Enterprise - Tavily
Nebius — New York, New York, United States · In-Person · Mid · $170k - $220k/yearly
Role description
Role Overview
As a Forward Deployed Engineer, Enterprise, you'll work directly with Tavily's largest and most strategic customers to design, prototype, and deploy production-grade AI systems powered by Tavily's API. You'll own the technical relationship across the customer lifecycle, helping enterprise teams move from early use case exploration to deployed, scalable agentic applications.
What You Will Do
Your responsibilities will include: work directly with enterprise customers to understand their AI use cases, technical architecture, success criteria, and deployment requirements; lead technical discovery and solution design during pre-sales and expansion conversations; scope, build, and deliver proofs of concept that demonstrate clear business and technical value; design and implement production-ready integrations using Tavily's API, including RAG pipelines, agent workflows, internal tools, and industry-specific GenAI applications.
Why It Might Be a Fit
We expect you to have 3+ years of software engineering experience, ideally in a customer-facing technical role such as Forward Deployed Engineer, Solutions Architect, Solutions Engineer, Sales Engineer, or Technical Consultant. You should have strong hands-on engineering ability, especially with Python, APIs, backend systems, and production software development.
Requirements
- 3+ years of software engineering experience
- Strong hands-on engineering ability, especially with Python, APIs, backend systems, and production software development
- Experience building with LLMs, Retrieval-Augmented Generation, agent architectures, context engineering, and modern AI application stacks
- Experience working with enterprise customers, including technical discovery, POCs, solution design, stakeholder management, and production rollout
- Strong understanding of how enterprises evaluate, deploy, secure, and scale AI systems
- Ability to communicate clearly with both technical and executive stakeholders, including engineering leaders, product teams, AI teams, and technical decision-makers
- High autonomy, strong ownership, and comfort operating in a fast-moving startup environment
Benefits
- Competitive compensation
- Career growth and learning opportunities
- Flexibility and work-life balance
- Collaborative and innovative culture
- Opportunity to work on impactful AI projects
- International environment and talented teams