Principal AI Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Establish technical direction: Take ownership of the architecture for our most intricate GenAI and agentic systems from start to finish, and set the benchmarks — evaluation, observability, responsible AI — that the practice will adhere to.

• Engage hands-on at the forefront: Remain actively involved in coding where it is most crucial — foundation-model and embedding fine-tuning, innovative agentic workflows, advanced RAG, and semantic search — utilizing Python on Google Cloud (Vertex AI), LangChain/LlamaIndex, and vector search (Vertex AI Vector Search, Pinecone, pgvector).

• Develop for production: Design with latency, reliability, cost, and scalability in mind from day one; implement MLOps principles to ensure systems are served efficiently, monitored, and continuously enhanced — ultimately reaching production, where many AI projects tend to stall.

• Facilitate multi-step reasoning at scale: Architect and manage agentic workflows that reliably automate complex reasoning, employing design and verification methodologies that prevent multi-agent systems from cascading into failure.

• Consult with clients and influence deals: Collaborate directly with client leadership to comprehend strategy, suggest cutting-edge methodologies, and shape solutions during the pre-sales phase — acting as the technical authority in discussions.

• Amplify the team: Enhance the skills of senior and mid-level engineers through architecture reviews, mentorship, and establishing a high, teachable standard for AI-augmented engineering.

⛳️ Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related technical discipline.

• Over 10 years of experience in software / AI / ML engineering, with a significant record of delivering AI systems to production at scale.

• Proven technical leadership — overseeing architecture and setting direction across engagements or teams, rather than just focusing on individual deliverables.

• Established history of deploying GenAI and/or agentic products in production environments.

• Experience with traditional machine learning (neural networks, training, tuning) is strongly preferred; experience with foundation-model or novel-model work is a distinct advantage.

• Solid knowledge of data engineering and SQL.

• Senior-level client-facing experience — translating technical complexities 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