Founding AI Engineer (Knowledge Graphs & Applied AI)

Founding Engineer, Search & Knowledge Systems

• Location: NYC (Hybrid)
• Compensation: $200,000+ base + founding equity

About Relevant

Recruiting is broken. Coaching is reserved for executives. Career transitions are often far more difficult than they should be.

At Relevant, we're building a portfolio of products designed to help people navigate their careers with greater clarity, confidence, and support. Our products include Reva, Coach, Passport, and SuccessDNA — each tackling a different part of the career journey.

This is not another productivity app or AI wrapper.

We're building systems that help people understand opportunities, make better decisions, and navigate complex career paths. The problems we're solving sit at the intersection of search, knowledge representation, recommendations, reasoning, and human potential.

We're still early. SuccessDNA is currently in design-partner and dogfooding stages, while several other products are being built from the ground up.

The Role

We're looking for a Founding Engineer to join directly after the founder and help shape the technical foundation of the company.

You'll work across product, architecture, data, retrieval, search, and AI systems. This is a high-ownership role for someone who enjoys operating in ambiguity, making architectural decisions, and building systems from first principles.

You won't inherit a roadmap.

You'll help create it.

What You'll Build

Graph-based retrieval systems

Semantic search and ranking infrastructure

Knowledge representation and entity relationships

Data models that support reasoning and personalization

Recommendation and matching systems

Agent-powered workflows and AI-enabled user experiences

Core platform capabilities used across multiple products

What We're Looking For

We're less interested in AI titles and more interested in the systems you've built.

You may currently be a:

Staff Software Engineer

Principal Software Engineer

Staff Backend Engineer

Platform Engineer

Data Platform Engineer

Search Engineer

Knowledge Graph Engineer

Distributed Systems Engineer

You likely have experience with some combination of:

Graph databases

Knowledge graphs

Semantic modeling

Entity resolution

Search infrastructure

Retrieval systems

Ranking systems

Recommendation systems

Large-scale data platforms

You should also bring:

7+ years of software engineering experience

Strong architectural and systems design skills

Experience building and operating production systems at scale

Ability to move from idea to implementation without waiting for detailed specifications

A pragmatic mindset focused on shipping, learning, and improving

AI Experience

Experience with LLM-powered products, agents, retrieval-augmented systems, or AI applications is valuable.

At the same time, we are not looking for someone whose experience is limited to prompt engineering, AI orchestration frameworks, or application-layer integrations.

The foundation we care about is strong engineering, data systems, search, and knowledge representation.

Bonus Points

Previous startup or founding engineer experience

Experience building products from 0→1

Experience leading engineers or technical initiatives

Background in talent, recruiting, HR technology, or career development

Interest in psychometrics, organizational design, or human performance

Why Join

You'll have direct influence over product direction, architecture, and company strategy.

You'll work closely with the founder and leadership team.

You'll help define the technical foundations of a company that aims to meaningfully improve how people navigate their careers.

And you'll do it with the ownership, autonomy, and upside that come with being an early founding team member.