Senior Principal AI Engineer Enfi
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Job Location:
Boston, NH - USA
Monthly Salary:
Not Disclosed
Posted on:
Yesterday
Vacancies:
1 Vacancy
Job Summary
Overview
Were looking for a Senior Principal AI Engineer to provide hands-on technical leadership across complex production-grade AI systems. This role is for a builder-architectsomeone who has repeatedly taken AI systems from idea to production understands where they fail at scale and knows how to unblock teams to move faster without sacrificing outcomes.
This is not a pure strategy or people-management role. It is a deeply technical builder role with organizational impact. You will define technical direction by writing code designing systems and helping the organization stay in builder mode as complexity and scale increase.
What Youll Do
- Architect and build end-to-end AI systems including LLM orchestration retrieval layers agentic workflows and structured reasoning systems
- Lead the design of multi-agent and tool-calling systems that operate reliably in production
- Establish and evolve architecture patterns for scalable cost-aware and observable AI applications
- Drive technical decisions across data modeling AI pipelines infrastructure and APIs
- Define best practices for evaluation monitoring and governance of AI systems in production
- Mentor senior engineers through design reviews code reviews and system-level debugging
- Translate ambiguous business and domain problems into clear technical strategies
- Stay ahead of emerging AI techniques and integrate what matterswithout chasing hype
Core Skills & Experience
- 12 years of software engineering experience with deep 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 skillsable 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
Builder Mentality (This Is Core to the Role)
- We are explicitly looking for builders.
- By builder we mean an operating mode not a title.
Builders:
- Bias toward systems that solve user needs not perfect abstractions
- Move comfortably from ambiguity first draft iteration production
- Optimize for learning velocity and customer impact not theoretical completeness
- Are willing to build the entire arc of a system to surface real constraints early
- Treat quality as something you earn through iteration not something you gate progress with
- Understand that the last 1020% of a systemintegration edge cases UX usability reliabilityis where real work happens
At the Principal level being a builder also means:
- Helping the organization stay in builder mode as it grows
- Collapsing unnecessary complexity rather than introducing more process
- Knowing when architectural rigor matters and when it is premature
- Pulling promising work across the finish line instead of waiting for perfect readiness
- Modeling speed ownership and clarity for other senior engineers
- Your impact is measured not only by what you build but by how much faster and more effectively others can build because of you.
Preferred Experience (Domain-Flexible Specialties)
- Knowledge graph architecture ontology design or semantic modeling in complex domains
- Graph databases graph query languages or graph ML techniques
- Hybrid systems combining structured reasoning with LLM-based approaches
- Entity resolution schema alignment or knowledge fusion at scale
- AI systems requiring explainability auditability or lineage tracking
- Experience building AI systems in regulated or high-stakes domains (finance healthcare legal government)
- MLOps evaluation infrastructure or long-running AI services operating at scale
What Youll Love
- 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
About Us
We are an AI-first company and we mean that literally.
AI is not a feature we bolt on. Its not a marketing layer. Its not a roadmap experiment. It is the foundation of how we design build and operate.
We are building systems where machines do what machines do best: pattern recognition synthesis analysis at scale. As well as what humans do what humans do best: judgment context trust and accountability.
That means rethinking workflows from the ground up. Not how do we add AI to this process but how should this process exist in a machine-augmented world
We care deeply about shipping real systems that work in regulated environments. With real customers. At scale.
If youre excited to help invent the next way software is built and deployed and to do it alongside a team of deeply pragmatic AI-obsessed builders wed love to talk.
We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.
Required Experience:
Staff IC
Key Skills
- GP
- Maintenance Planning
- ASP.NET
- Food Processing
- Catia
About Company
Unusual Ventures is raising the bar for what founders should expect from their venture investors and enabling startups with the support they need to be successful.
