Note: The job is a remote job and is open to candidates in USA. Egen is a fast-growing and entrepreneurial company with a data-first mindset. They are seeking a Principal AI Engineer who will set the technical direction for complex Generative AI projects and work hands-on to build and architect systems that operate at scale.
Responsibilities
- 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
Skills
- 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
- Strong data engineering and SQL knowledge
- Senior client-facing experience — translating technical complexity into business value for executive stakeholders
- Mastery of Python and shell scripting; fluency across the modern AI engineering stack
- Deep, current expertise with Google Gemini, GPT-class, and open models (LLaMA); advanced prompt engineering, fine-tuning, and evaluation
- Proven experience designing and productionizing agentic and multi-step reasoning systems (MCP, tool use, orchestration) — not just prototypes
- Expertise in vector databases (Vertex AI Vector Search, pgvector, Pinecone) and semantic search at production scale
- Deep hands-on experience with Google Cloud / Vertex AI and architecting scalable, resilient software systems
- Strong command of LangChain, LlamaIndex, or equivalent orchestration layers — and the judgment to know when not to reach for them
- A first-class software engineer — clean, maintainable code, full SDLC ownership, and the architectural judgment to lead others
- You take responsibility not just for your code, but for the outcome of the system and the success of the team building it
- The AI landscape changes weekly; you stay at the frontier and bring the team with you
- You earn the trust of client leadership and are the calm, credible technical voice in a high-stakes room
- You hold the line on responsible AI development and data privacy
- Experience with classic machine learning (neural nets, training, tuning) strongly preferred; foundation-model or novel-model work a distinct plus
Benefits
- Comprehensive Health Insurance
- Paid Leave (Vacation/PTO)
- Paid Holidays
- Sick Leave
- Parental Leave
- Bereavement Leave
- 401 (k) Employer Match
- Employee Referral Bonuses
Company Overview
Company H1B Sponsorship