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Principal AI Engineer

2 months, 2 weeks ago
Anywhere
Full-time
Lead
AI Engineer
Software Development
GCP Generative AI GPT Machine Learning MLOps Neural Networks Python Shell Scripting SQL Vertex AI
Apply Now
Egen.ai

Egen.ai

Egen.ai specializes in providing technology services that leverage cloud computing, data analytics, and artificial intelligence to enhance document intelligence and drive productivity and growth for its clients.

IT Services
Founded 2000
View All Jobs 12

Description

  • Set technical direction and own end-to-end architecture for complex generative AI and agentic systems.
  • Build hands-on in the codebase on foundation-model work, fine-tuning, advanced RAG, semantic search, and agentic workflows.
  • Design AI systems for latency, reliability, cost, scale, and governance from day one.
  • Apply MLOps practices to monitor, serve, and continuously improve production AI systems.
  • Architect and operate multi-step reasoning and multi-agent workflows that automate complex tasks reliably.
  • Partner directly with client leadership to translate business strategy into AI architecture and technical solutions.
  • Shape solutions during pre-sales and serve as the technical authority in client conversations.
  • Mentor and elevate other engineers through architecture reviews and technical guidance.
  • Set standards for evaluation, observability, and responsible AI across the practice.

Requirements

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.
  • 10+ years of experience in software, AI, or ML engineering.
  • Substantial track record of AI systems delivered to production at scale.
  • Demonstrated technical leadership across engagements or teams, including ownership of architecture and technical direction.
  • Proven experience deploying GenAI and/or agentic products to production environments.
  • Deep hands-on experience with Google Cloud and Vertex AI.
  • Strong command of Python and shell scripting.
  • Experience with vector databases and semantic search, including Vertex AI Vector Search, Pinecone, or pgvector.
  • Deep expertise with LLM ecosystems such as Google Gemini, GPT-class models, and open models like LLaMA.
  • Advanced prompt engineering, fine-tuning, and evaluation experience.
  • Strong data engineering and SQL knowledge.
  • Senior client-facing experience translating technical complexity into business value for executive stakeholders.
  • Experience with classic machine learning, such as neural networks, training, and tuning, is strongly preferred.
  • Foundation-model or novel-model work is a distinct plus.

Benefits

  • Competitive salary.
  • Comprehensive health insurance.
  • Paid vacation/PTO.
  • Paid holidays.
  • Sick leave.
  • Parental leave.
  • Bereavement leave.
  • 401(k) employer match.
  • Employee referral bonuses.
  • Reasonable accommodations during the interview process for candidates with disabilities.

Interested in this position?

Apply directly on the company website

Apply Now

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