Principal AI Engineer

🕒 July 6

🇺🇸 United States – Remote

💵 $219.2k - $290k / year

⏰ Full Time

🔴 Lead

🤖 AI Engineer

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Egen

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2000

💼 Consulting

📦 Logistics

📣 Marketing

Consulting • Logistics • Marketing

Egen is a company that specializes in engineering innovative solutions using platforms, data, and generative AI. They focus on harnessing the potential of data to empower organizations and individuals, providing services across various sectors including communications, healthcare, and public sector solutions. Their customizable platforms address critical challenges in urban management, customer engagement, clinical care, and operational excellence, aiming to drive impactful outcomes for clients.

📋 Description

• Set technical direction: Own architecture for our most complex GenAI and agentic systems end-to-end, and set the standards — evaluation, observability, responsible AI — that the practice builds to. • Build at the frontier, hands-on: Stay in the code where it matters most — foundation-model and embedding fine-tuning, novel agentic workflows, advanced RAG and semantic search — using Python on Google Cloud (Vertex AI), LangChain/LlamaIndex, and vector search (Vertex AI Vector Search, Pinecone, pgvector). • Engineer for production: Design for latency, reliability, cost, and scale from day one; apply MLOps discipline so systems are served efficiently, monitored, and continuously improved — and actually reach production, where most AI work stalls. • Lead multi-step reasoning at scale: Architect and operate agentic workflows that automate complex reasoning reliably, with the design and verification discipline that keeps multi-agent systems from cascading into failure. • Advise clients and shape deals: Work directly with client leadership to understand strategy, propose state-of-the-art approaches, and shape solutions in pre-sales — the technical authority in the room. • Multiply the team: Elevate senior and mid-level engineers through architecture reviews, mentorship, and setting a high, teachable bar for AI-augmented engineering.

🎯 Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field. • 10+ years in software / AI / ML engineering, with a substantial track record of AI systems delivered to production at scale. • Demonstrated technical leadership — owning architecture and setting direction across engagements or teams, not just individual deliverables. • Proven track record of deploying GenAI and/or agentic products to production environments. • Experience with classic machine learning (neural nets, training, tuning) strongly preferred; foundation-model or novel-model work a distinct plus. • Strong data engineering and SQL knowledge. • Senior client-facing experience — translating technical complexity into business value for executive stakeholders.

🏖️ Benefits

• Comprehensive Health Insurance • Paid Leave (Vacation/PTO) • Paid Holidays • Sick Leave • Parental Leave • Bereavement Leave • 401 (k) Employer Match • Employee Referral Bonuses