Frazier Executive Search
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Frazier Executive Search

Always searching

Ongoing Opportunities

These are areas where we conduct searches on a recurring basis. If your background aligns, we want to hear from you — even when a specific role is not yet posted.

Operations

Operations & Manufacturing — Engineering and Leadership

Always looking for Operations and Manufacturing professionals in both Chemical and Manufacturing.  Process Engineers, Production Engineers, EHS Engineers, Plant Managers, Maintenance Engineers, I&C Engineers.

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Technology

Technology — Engineering and Leadership

AI Engineers Backend Engineers Hardware Engineers

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Finance

FinTech

FINTECH / QUANT  - AI ENGINEER and FULL STACK ENGINEER, AI PLATFORM   - 250K - 1MM What they are looking for...  1) Big-tech engineer who pivoted to AI. Several years as a backend or infra engineer at Google, Microsoft, or Meta, with the last one to two years building tooling whose users are AI researchers (think infra serving DeepMind) or working on an agent product like Claude, Codex or Copilot. 2) AI startup platform engineer. Someone on the team that builds what the researchers use: CI/CD, LLM gateways, eval infra, and sandboxes. 3) Founding or early engineer at an agent or coding-agent company. Someone who actually shipped to users, not someone whose company only has demos. 4) Search or retrieval engineer who moved into RAG and agents in production. FULL STACK ENGINEER, AI PLATFORM NEW YORK, NY | FULL RELOCATION PAID | 300-650K TOTAL COMPENSATION Top-tier Computer Science or Computer Engineering university required. 3-8 years of experience building full-stack applications and backend services using Python, Java, TypeScript, React, APIs, and system design. Experience with GenAI/LLMs, cloud, Docker, Kubernetes, AWS/Azure preferred. Direct Hire | Nationwide Recruiting | Sponsorship Available AI ENGINEER NEW YORK, NY | FULL RELOCATION PAID | 250K-1M Top-tier Computer Science, Computer Engineering, Mathematics, Physics, or related technical university required. 3-15 years of experience building GenAI, LLM, AI agents, agentic systems, RAG, retrieval, and AI platforms using Python and APIs. Experience with LLMOps, LangGraph, vector databases, data pipelines, Docker, AWS/Azure preferred. Direct Hire | Nationwide Recruiting | Sponsorship Available

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