Senior Principal AI Engineer -Enfi
Unusual Ventures2 days ago
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OnsiteFull-timeSenior
Summary
Unusual Ventures is seeking a Senior Principal AI Engineer to provide hands-on technical leadership across complex, production-grade AI systems in Boston, MA. The role focuses on architecting and building end-to-end AI systems while mentoring senior engineers.
About the Role
As a Senior Principal AI Engineer, you will architect and build AI systems, lead the design of multi-agent systems, establish architecture patterns for scalable applications, drive technical decisions, define best practices for AI governance, and mentor engineers. You will also translate business problems into technical strategies and stay ahead of emerging AI techniques.
About You
Required:
- 12+ years of software engineering experience with hands-on experience building AI/ML systems in production.
- Strong proficiency in TypeScript, React, Go, Python, and modern AI frameworks.
- Extensive experience with LLMs, including RAG, tool use, prompt systems, and agentic architectures.
- Proven ability to design and ship large-scale AI systems that run reliably in real-world environments.
- Strong architectural judgment across data systems, AI models, infrastructure, and application layers.
- Deep understanding of AI failure modes: hallucination, drift, brittleness, latency, and cost blowups.
- Excellent communication skills to explain technical tradeoffs to both technical and non-technical audiences.
- Track record of shipping systems end-to-end, not just prototypes or research work.
Preferred:
- Knowledge graph architecture, ontology design, or semantic modeling in complex domains.
- Experience with graph databases, graph query languages, or graph ML techniques.
- Experience with hybrid systems combining structured reasoning with LLM-based approaches.
- Experience in entity resolution, schema alignment, or knowledge fusion at scale.
- Experience building AI systems in regulated or high-stakes domains (finance, healthcare, legal, government).
- Experience with MLOps, evaluation infrastructure, or long-running AI services operating at scale.
Benefits
- Owning the technical direction of real AI systems that make it into production.
- Solving hard, ambiguous problems where architecture and execution matter equally.
- Leading through hands-on building, not layers of process.
- Working in an environment that values shipping, learning, and iteration over perfection.
- Having the latitude to shape both systems and how teams build them.
Unusual Ventures
Unusual Ventures leads seed rounds in enterprise AI software startups. We built a hands-on engagement model that gives technical founders the best odds of finding product-market fit.
Boston, MA