Forward Deployed Engineer, Enterprise

Tavily; New York (NY); On-site; USD 179,500 - 224,300; Full time

Job summary

Tavily, based in New York City, is hiring a Forward Deployed Engineer for Enterprise. You will design, prototype, and deploy AI systems powered by Tavily’s API, collaborating with enterprise customers from discovery to production.

You will build RAG pipelines and agent workflows, create reference architectures, and serve as a bridge between field and product teams. 3+ years in software engineering is required.

Qualifications

• 3+ years of software engineering experience, including customer-facing technical roles.
• Strong hands-on engineering ability with Python, APIs, and production software.
• Experience with LLMs, Retrieval-Augmented Generation, and modern AI stacks.
• Experience with enterprise customers, POCs, and production rollout.
• Ability to communicate with technical and executive stakeholders.
• Based in New York City, or willing to relocate.

Responsibilities

• Engage with enterprise customers to understand use cases, architecture, and deployment requirements.
• Lead technical discovery and solution design during pre-sales and expansions.
• Scope and deliver proofs of concept showing business and technical value.
• Design production-ready integrations using Tavily’s API (RAG, agent workflows).
• Collaborate with customer teams to move use cases from prototype to production.
• Monitor API usage and suggest reliability improvements.
• Translate customer needs into roadmap input and reusable assets.
• Represent Tavily in architecture reviews and executive conversations.

Skills

Python

APIs

Backend systems

LLMs

RAG pipelines

Agent architectures

Enterprise customers

Communication

New York relocation

Tools

LangChain

LlamaIndex

LangGraph

OpenAI Agents SDK

CrewAI

Pinecone

Weaviate

pgvector

Qdrant

Job description

New York City, New York, United States; New York, United States

About Tavily

We're building the search engine for AI agents. Our API powers agentic applications and real-time reasoning by connecting LLMs to high-quality, trustworthy web content. We work with some of the most innovative teams in AI — from startups shaping the ecosystem to enterprises deploying AI at scale.

The Team

Forward Deployed Engineering owns how Tavily shows up technically in the field. The team sits at the intersection of customers, Product, Engineering, Sales, Partnerships, and Customer Success.

The Enterprise FDE motion focuses on Tavily’s highest-value customers and strategic enterprise opportunities — from technical discovery and solution design through proof of concept, production rollout, adoption, and expansion.

The role

This is a full-time, on-site role based in our New York office.

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.

You’ll be deeply hands‑on: building RAG pipelines, agent workflows, evaluation loops, reference architectures, and custom integrations alongside customer teams. You’ll also serve as a critical bridge between the field and our Product and Engineering teams, translating enterprise needs into roadmap signal.

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.
• Partner with customer engineering, data, product, and AI teams to move use cases from prototype to production.
• Monitor customer API usage patterns and recommend improvements to increase reliability, latency, coverage, and overall value.
• Translate recurring customer needs, blockers, and technical patterns into clear product and roadmap input.
• Create reusable enterprise assets, including reference architectures, integration templates, deployment guides, demo environments, and technical documentation.
• Represent Tavily in customer architecture reviews, executive technical conversations, implementation check‑ins, and post‑deployment reviews.
• Partner closely with Sales, Customer Success, Product, and Engineering to drive adoption, retention, and expansion across strategic accounts.

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.
• 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.
• Excellent written and verbal communication skills, with the ability to turn complex technical concepts into clear recommendations.
• Based in New York City, or willing to relocate.

It will be an added bonus if you have:

• Experience working with major agent or LLM orchestration frameworks such as LangChain, LlamaIndex, LangGraph, OpenAI Agents SDK, or CrewAI.
• Experience with vector databases such as Pinecone, Weaviate, pgvector, Qdrant, or similar systems.
• Experience with enterprise AI use cases in financial services, legal, consulting, enterprise SaaS, sales, marketing, or internal knowledge management.
• Track record helping large customers move from POC to production.
• Experience building internal tools, technical playbooks, demos, or reusable customer‑facing assets.
• Prior experience at a high‑growth AI infrastructure, developer tools, or enterprise SaaS company.

Compensation

We offer competitive compensation packages. 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.

Pay Transparency

We offer competitive compensation and benefits packages. Actual compensation will be determined based on job‑related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law.

Base Compensation Range

$179,500 - $224,300 USD

Pay Transparency

We offer competitive compensation and benefits packages. Actual compensation will be determined based on job‑related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law.

On Target Earnings Range

$179,500 - $224,300 USD