Description
This is a full-time, on-site role based in our New York office.
As a Forward Deployed Engineer, Ecosystem, you’ll work directly with Tavily’s strategic partners to design, build, and launch solutions that make Tavily a core component of the modern agent stack.
Your responsibilities will include:
- Work directly with ecosystem partners, including model providers, agent frameworks, orchestration platforms, AI developer tools, ISVs, and infrastructure companies.
- Design, build, and maintain high-quality integrations that make Tavily easy to adopt across the modern AI and agent stack.
- 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 tradeoffs, launch plans, and adoption goals.
- Support technical partner conversations from early exploration through integration launch, developer adoption, and ongoing iteration.
- Identify opportunities for Tavily to become embedded in partner products, frameworks, docs, templates, and developer workflows.
- Translate ecosystem patterns and partner feedback into product and roadmap input for Tavily’s Product and Engineering teams.
- Partner with Sales, Partnerships, Developer Relations, Product, and Engineering to support strategic launches and joint technical initiatives.
- Represent Tavily in partner reviews, technical workshops, developer communities, conferences, livestreams, and technical content.
- Help build scalable ecosystem assets, including integration guides, demo environments, playbooks, docs, tutorials, and reusable examples.
We expect you to have:
- 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 strong 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 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 clear technical content, including documentation, tutorials, example apps, demos, and reference architectures.
- High autonomy, strong ownership, and comfort operating in a fast-moving startup environment.
- Based in New York City, or willing to relocate.
Bonus Points:
- Experience working with model providers, agent framework teams, developer platforms, AI infrastructure companies, or major technical partners.
- Experience contributing to open-source projects, especially 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.
- Track record 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.
Key employee benefits:
- Health insurance: 100% company-paid medical, dental and vision coverage for employees and families
- 401(k) plan: Up to 4% company match with immediate vesting
- Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers
- Remote work reimbursement: Up to $85/month for mobile and internet
- Disability & life insurance: Company-paid short-term, long-term and life insurance coverage
Compensation: The actual compensation offered within the listed range will be determined based on job-related factors, including experience, skills, qualifications, and the level at which the candidate is hired, consistent with applicable law.
Base Compensation Range: $112,700-$183,900 USD