Build Infrastructure That Governs the Future of AI
At ElixirData, you'll build the decision substrate for enterprise AI — systems where intelligence is governed by construction, every action is explainable, and trust is an architectural property. You won't chase hype cycles. You'll engineer the primitives that make accountability structural
Why Join Us
Why Join ElixirData
You'll build the foundational systems that define how AI operates — governed, explainable, and defensible by design. You won't chase quick launches. You'll engineer the primitives that make trust measurable and accountability structural across enterprise AI
Core Infrastructure
You'll work on Context OS building blocks — Context Graph mapping enterprise reality and Policy Gates enforcing governance for institutional AI decision-making
Hard Environments
You'll design systems for regulated domains — banking and healthcare — where reliability and traceability are non-negotiable, proving structural enforcement over governance theater
Meaningful Problems
You'll tackle foundational challenges: verifying authority before AI acts, capturing Decision Traces, measuring trust quantitatively, and preventing structural non-compliance
New Category
You'll define Context Infrastructure — systems between AI agents and data that provide governed context, enforcement, and evidence for enterprise AI
You won't just build products — you'll shape the foundation of responsible AI execution for the institutions that govern economies, healthcare, critical infrastructure, and public safety
How We Grow
Building Intelligence, Scaling Impact
We grow by driving innovation that scales responsibly. Through continuous learning, strategic collaboration, and infrastructure that compounds, we help enterprises evolve with agility and trust.
Deep Expertise
Master distributed systems, graph databases, policy engines, and AI orchestration
Hard Problems
Work on challenges that don't have Stack Overflow answers — structural governance at scale
Category Defining
Help establish the standards for Context Infrastructure — a market that doesn't fully exist yet
Compound Learning
Every system you build teaches the next one — ACE principles create a learning flywheel
Our Culture
The Values That Shape How We Build
We hire carefully and trust completely. With that trust comes high expectations — for quality, clarity, and ownership. Our culture balances rigor with humility, ensuring every decision, action, and system we build can withstand scrutiny
Ownership
You own outcomes, not just tasks. Autonomy paired with accountability — end-to-end responsibility for every result delivered. Just as our agents have explicit authority scopes, our people have explicit ownership boundaries
Rigor
You build systems that survive scrutiny. Every design, decision, and deployment must be explainable, defendable, and operationally sound. We apply the same standard to our code that we apply to our customers' AI decisions
Clarity
You communicate precisely and document your reasoning. We prioritize clarity over speed because precision is what sustains trust — in our codebase, our architecture decisions, and our customer relationships
Humility
You know what you don't know. We value curiosity, evidence-driven learning, and openness over ego. Humility isn't weakness — it's the same intellectual honesty that makes our governance systems trustworthy
Impact
You focus on meaningful outcomes, not activity. What matters is the measurable difference your work creates — in reduced false positives, in audit preparation time, in decisions that withstand scrutiny. Impact is measured, not asserted
Accountability
You own both success and failure. We learn without blame — always improving through transparency, reasoning, and evidence. The same Decision Trace philosophy that governs our product governs how we operate internally
Life at ElixirData
What You'll Experience
The work is demanding, the expectations are high, and the rewards are tangible — building infrastructure that defines how AI operates responsibly across the world's most consequential institutions
The Work
You'll solve complex infrastructure problems where correctness matters, designing systems that operate reliably under real enterprise constraints
Expect challenges across context graphs, policy enforcement, decision tracing, and large-scale agent orchestration in production environments
Build systems enterprises rely on to execute governed AI decisions safely at scale
The Environment
Our team works remotely with an async-first culture that prioritizes deep focus, clear thinking, and independent ownership
Most collaboration happens through thoughtful writing, giving everyone uninterrupted time for meaningful technical problem solving
Work with autonomy while maintaining strong alignment through clear written decisions and trusted ownership
The Growth
You’ll learn from experienced operators who have built and scaled production systems inside global enterprises
Together we’re defining a new infrastructure category for governed AI execution across complex organizations
Develop rare expertise building enterprise AI infrastructure enabling safe deployment of intelligent systems
FAQ
Frequently Asked Questions
Context OS operates at enterprise scale — ingesting many sources, resolving entities, serving fast queries, enforcing policies, storing immutable traces, syncing edge systems
Security and compliance are architectural: zero-trust authentication, tenant isolation, infrastructure-level PII protection, eliminating unauthorized data access paths entirely
We build infrastructure engineers deploy: clear APIs, documentation, predictable behavior, helpful errors; internal tools use same APIs to ensure easy integration
Written clarity is core engineering: document architecture reasoning, proposals before implementation, post-mortems, product-level API docs, capturing decisions for future scrutiny
We're Building Infrastructure That Matters — Come Build It With Us
When you're ready, we'll be here. Join a team that values rigor, clarity, and trust — and turns them into systems that last