Role OverviewThis is a full-time, on-site role for a
Forward Deployed Engineer based in our New York office.
We're looking for a technically exceptional engineer who's excited to work directly with our customers and partners to design, prototype, and deploy integrations of Tavily's API into real-world agentic systems. As a Forward Deployed Engineer, you'll be embedded with strategic partners and high-value customers-playing a critical role in both pre-sales and post-deployment success. You'll help build RAG pipelines, production-grade applications, and industry-specific GenAI use cases built on Tavily.
You'll operate across the customer lifecycle-from early discovery and solution design to scaling usage and identifying new opportunities. You'll bridge product, engineering, sales, partnerships, and customer success.
Responsibilities- Work directly with customers to understand their use cases and build custom integrations using Tavily's API.
- Participate in pre-sales efforts, including sales calls, technical discovery, and proof-of-concept scoping.
- Design and implement prototypes, proofs of concept, and production-ready systems alongside client teams.
- Monitor API usage patterns and recommend improvements to increase reliability, efficiency, and coverage.
- Collaborate with internal teams to influence roadmap priorities based on customer needs and recurring technical challenges.
- Build reusable technical content including documentation, reference architectures, internal tools, and templates to scale future deployments.
- Represent Tavily in customer conversations, architecture reviews, post-deployment tracking, and partner-facing technical engagements.
Ideal Profile- 3+ years of software engineering experience, ideally in a customer-facing, consulting, or partner-focused role at a large company (e.g., Forward Deployed Engineer, Solutions Architect, Sales Engineer).
- Obsession with AI ecosystem - strong engineering skills and experience working with the modern agent stack.
- Deep understanding of agent architectures, Retrieval-Augmented Generation (RAG), LLMs, context engineering, and .
- Strong interpersonal skills and comfort working directly with technical stakeholders at enterprises and partners.
- Fast learner, highly autonomous, and excited to work in a fast-paced startup environment.
- Based in New York City, Austin, SF, or willing to relocate.
Interview Process- Intro Call - An informal chat to get to know you, your background, and your interest in AI.
- Take-Home Exercise - A short assignment similar to the work you'd do on the job.
- Live Demo - A live demo to present the use case you built, your approach, and the business and technical value.
- Final Meeting - A conversation with our leadership team.
