Forward Deployed Engineer, Ecosystem - Tavily

Details

Nebius is building a full-stack AI cloud platform for developers and enterprises, supporting workloads from data and model training through production deployment. Tavily is building a search engine for AI agents, with an API that connects LLMs to high-quality, trustworthy web content for agentic applications and real-time reasoning.

The Forward Deployed Engineering team works at the intersection of customers, Product, Engineering, Sales, Partnerships, Developer Relations, and Customer Success. The Ecosystem FDE motion focuses on technical partners across the agentic AI stack, including model providers, agent frameworks, orchestration platforms, developer tools, ISVs, and AI infrastructure companies.

This is a full-time, on-site role based in the New York office. The role involves working directly with strategic partners to design, build, and launch integrations, reference implementations, demos, technical content, and joint solutions. The successful candidate will ship code, shape integration strategy, influence product direction, and help establish Tavily as a core search and web access layer for agentic applications.

Responsibilities

• Work directly with ecosystem partners, including model providers, agent frameworks, orchestration platforms, AI developer tools, ISVs, and infrastructure companies.
• Design, build, and maintain integrations across the AI and agent ecosystem.
• Create reference implementations, example applications, SDK examples, retrieval pipelines, agent workflows, demos, and technical templates.
• Collaborate with partner engineering and product teams on integration design, technical trade-offs, launch plans, and adoption goals.
• Support technical partner engagements from initial exploration through integration launch, developer adoption, and ongoing iteration.
• Identify opportunities to embed Tavily in partner products, frameworks, documentation, templates, and developer workflows.
• Translate ecosystem patterns and partner feedback into product and roadmap input for Product and Engineering.
• Partner with Sales, Partnerships, Developer Relations, Product, and Engineering on strategic launches and joint technical initiatives.
• Represent Tavily in partner reviews, technical workshops, developer communities, conferences, livestreams, and technical content.
• Build scalable ecosystem assets, including integration guides, demo environments, playbooks, documentation, tutorials, and reusable examples.

Requirements

• At least 3 years of software engineering experience, ideally in a partner-facing, developer-facing, or customer-facing technical role such as Forward Deployed Engineer, Solutions Architect, Developer Advocate, Solutions Engineer, Partner Engineer, or Sales Engineer.
• Strong hands-on engineering ability, especially with Python, APIs, SDKs, backend systems, and developer-facing integrations.
• Deep interest in the AI ecosystem and familiarity with the modern agent stack.
• Experience building with LLMs, Retrieval-Augmented Generation, agent architectures, context engineering, and AI application frameworks.
• Experience with at least one major agent or LLM orchestration framework, such as LangChain, LlamaIndex, LangGraph, OpenAI Agents SDK, CrewAI, or similar tools.
• Strong product intuition and the ability to design integrations that are technically sound, easy to use, and valuable for developers.
• Excellent written and verbal communication skills across engineering, product, partner, and developer audiences.
• Ability to create technical content, including documentation, tutorials, example applications, demos, and reference architectures.
• High autonomy, strong ownership, and comfort working in a fast-moving startup environment.
• Based in New York City or willing to relocate.

Bonus Qualifications

• Experience working with model providers, agent framework teams, developer platforms, AI infrastructure companies, or major technical partners.
• Contributions to open-source projects, particularly in the LLM, RAG, agent, or developer tools ecosystem.
• Experience building or maintaining SDKs, integrations, plugins, templates, or framework adapters.
• Experience speaking at developer conferences, hosting workshops, publishing technical content, or building developer communities.
• Experience with vector databases such as Pinecone, Weaviate, pgvector, Qdrant, or similar systems.
• A track record of launching partner integrations or developer-facing technical initiatives that drove meaningful adoption.
• Prior experience at a high-growth AI infrastructure, developer tools, or open-source company.

Compensation

• Base compensation range: $112,700-$183,900 USD per year.
• Actual compensation depends on experience, skills, qualifications, hiring level, and geographic location.

Benefits

• Company-paid medical, dental, and vision coverage for employees and families.
• 401(k) plan with up to a 4% company match and immediate vesting.
• Paid parental leave: 20 weeks for primary caregivers and 12 weeks for secondary caregivers.
• Remote work reimbursement of up to $85 per month for mobile and internet.
• Company-paid short-term disability, long-term disability, and life insurance.
• Career growth and learning opportunities.
• Flexibility and ownership.
• Collaborative and innovative culture.
• Opportunity to work on impactful AI projects.

Applicants must be authorized to work in the country in which they apply and must provide proof of employment eligibility. Nebius is an equal opportunity employer.