Nebius
Forward Deployed Engineer, Enterprise - Tavily
$180K–$224K
New York, United States +2 · Full-time · Posted Jun 5, 2026
- Location
- New York, United States
United States
New York, United States - Experience
- 5+ years of software engineering experience; ideally in a customer-facing technical role.
- Visa sponsorship
- Applicants must be authorized to work in the country in which they apply and provide proof of employment eligibility as a condition of hire.
About the job
Build and deploy production-grade AI systems powered by Tavily’s API for strategic enterprise customers, guiding them from technical discovery and proof of concept through rollout and adoption.
What you'll do
- Lead customer discovery, solution design, and proofs of concept; support enterprise use cases through production deployment.
- Build integrations, RAG pipelines, agent workflows, and related AI applications; monitor API usage and recommend improvements.
- Translate customer needs into product and roadmap input, and partner across teams to support adoption and expansion.
What they ask for
- 5+ years of software engineering experience.
- 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 on technical discovery, POCs, solution design, stakeholder management, and production rollout.
Nice to have
- Experience with LangChain, LlamaIndex, LangGraph, OpenAI Agents SDK, CrewAI, or vector databases such as Pinecone, Weaviate, pgvector, or Qdrant.
- Experience with enterprise AI use cases or helping large customers move from POC to production.
Pay
$179,500 — $224,300 USD (base salary)
Tools
Python, Tavily’s API, LangChain, LlamaIndex, LangGraph, OpenAI Agents SDK, CrewAI, Pinecone
AI focus
Build and deploy enterprise AI systems, including RAG pipelines, agent workflows, and production GenAI applications.
Model-written summary · the original posting is authoritative