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Nebius

Forward Deployed Engineer, Enterprise - Tavily

Nebius · New York, United States; United States

Posted about 2 months ago

or apply directly on Nebius's site. We never take the application ourselves.

Is this posting real?

This role has been open
66 days
Nebius's roles stay open a median of 66 days
Reposted
No
Salary listed
No
9% of Nebius's roles list one
Ghost-job risk at Nebius
high
318 stale, 17 reposted of 384 open
Hiring momentum
508 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-08

Measured from postings appearing on and disappearing from Nebius's own greenhouse board since 2026-08-03. Full hiring picture for Nebius.

About this role

As a Forward Deployed Engineer at Tavily, you will engage directly with enterprise customers to design, prototype, and deploy AI systems using Tavily's API. Your role involves technical discovery, solution design, and building production-ready integrations, while also serving as a bridge between customer needs and product development. You will be responsible for creating enterprise assets and monitoring API usage to enhance customer value.

Our read on this posting2.6out of 5
benefits
3/5
freshness
1/5
career value
4/5
role clarity
5/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Nebius as an employer.

What you need

  • 5+ years of software engineering experience in a customer-facing technical role
  • Strong hands-on engineering ability with Python, APIs, backend systems, and production software development
  • Experience building with LLMs, Retrieval-Augmented Generation, and modern AI application stacks
  • Experience working with enterprise customers on technical discovery, POCs, solution design, and production rollout
  • Strong understanding of enterprise AI system evaluation, deployment, and scaling
  • Ability to communicate with technical and executive stakeholders

Nice to have

  • Experience with agent or LLM orchestration frameworks like LangChain or OpenAI Agents SDK
  • Experience with vector databases such as Pinecone or Weaviate
  • Experience with enterprise AI use cases in sectors like financial services or consulting
  • Track record of helping large customers move from POC to production
  • Experience building internal tools or reusable customer-facing assets

What you get

  • Competitive compensation
  • Career growth and learning opportunities
  • Flexibility and ownership
  • Collaborative and innovative culture
  • Opportunity to work on impactful AI projects
  • International environment and talented teams

Worth weighing

  • No specific salary range provided beyond general compensation package description
  • Role requires high autonomy in a fast-paced startup environment which may not suit everyone
  • Focus on enterprise customers may limit exposure to diverse projects

Summarised from Nebius's posting. Read the full original.

Listed by Nebius on their greenhouse job board, last confirmed open on 2026-10-08. PitchMeAI is not the employer.

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