Forward Deployed Engineer, Enterprise (AI)

TL;DR

Forward Deployed Engineer, Enterprise (AI): Designing, prototyping, and deploying production-grade AI systems and RAG pipelines for strategic enterprise customers using Tavily's API with an accent on solution design and technical discovery. Focus on building agentic workflows, evaluation loops, and scalable integrations to move use cases from POC to production.

Location: On-site in New York City, United States. Must be based in NYC or willing to relocate.

Salary: $170,000 - $220,000 USD

Company

hirify.global is building a full-stack AI cloud platform for the global AI economy, featuring Tavily, a search engine designed specifically for AI agents.

What you will do

• Lead technical discovery and solution design for high-value enterprise customers during pre-sales and expansion.
• Scope, build, and deliver Proofs of Concept (POCs) that demonstrate clear business and technical value.
• Implement production-ready AI integrations, including RAG pipelines, agent workflows, and industry-specific GenAI applications.
• Translate recurring customer needs and technical blockers into clear product roadmap signals.
• Create reusable enterprise assets such as reference architectures, integration templates, and deployment guides.
• Partner with Sales, Customer Success, Product, and Engineering to drive adoption and expansion across strategic accounts.

Requirements

• 3+ years of software engineering experience, ideally in customer-facing roles like Solutions Architect or Sales Engineer.
• Strong hands-on proficiency with Python, APIs, and production backend systems.
• Experience building with LLMs, Retrieval-Augmented Generation (RAG), agent architectures, and context engineering.
• Proven track record of managing enterprise customers through discovery, POCs, and production rollout.
• Must be based in New York City or willing to relocate.
• Ability to communicate complex technical concepts clearly to both engineering leaders and executive stakeholders.

Nice to have

• Experience with LLM orchestration frameworks such as LangChain, LlamaIndex, LangGraph, or CrewAI.
• Experience with vector databases like Pinecone, Weaviate, pgvector, or Qdrant.
• Domain expertise in AI use cases for financial services, legal, consulting, or enterprise SaaS.
• Prior experience at a high-growth AI infrastructure or developer tools company.

Culture & Benefits

• Competitive compensation packages.
• Opportunities for career growth and continuous learning.
• Collaborative and innovative culture working on impactful AI projects.
• International environment with access to highly talented global teams.
• Focus on flexibility and work-life balance.