# Forward Deployed Engineer, Ecosystem - Tavily

**Company**: Tavily
**Location**: New York
**Work arrangement**: onsite
**Experience**: senior
**Job type**: full-time
**Salary**: $112,700-$183,900 USD
**Category**: Engineering
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/nebius/jobs/4825218101?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_b7c35d55-3a8

## 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

## Skills

### Required
- Python
- APIs
- SDKs
- backend systems
- LLMs
- Retrieval-Augmented Generation
- agent architectures
- context engineering
- AI application frameworks
- LangChain
- LlamaIndex
- LangGraph
- OpenAI Agents SDK
- CrewAI

### Nice to have
- model providers
- agent framework teams
- developer platforms
- AI infrastructure companies
- open-source projects
- LLM
- RAG
- agent
- developer tools ecosystem
- vector databases
- Pinecone
- Weaviate
- pgvector
- Qdrant

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/nebius/jobs/4825218101?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)