Land Administration Company Inc. (LAC)
Every functioning economy depends on knowing, with certainty, who owns, uses
and holds rights to land. When that information is inaccurate, incomplete or
unavailable, the consequences are serious: disputed titles, stalled transactions,
lost public revenue and eroded trust in government. The Land Administration
Company Inc. (LAC), based in Vancouver, exists to prevent those failures. It
provides mission-critical software and specialist services that help governments
and large institutions modernise and safeguard the systems they use to manage
land, titles, parcels and regulatory processes.
At the heart of LAC’s offering is LAVA, its proprietary cloud-native platform. LAVA
serves as the authoritative system of record for land governance, bringing together
land titles, cadastral and spatial data, legal instruments, regulatory compliance
and operational workflows in one secure, highly reliable environment. It supports
the full scope of land registry and cadastral operations, including first registration
and digital survey plan submission. For clients, this means better data quality,
faster approvals, lower administrative risk, real-time decision-making and
complete visibility and control over their land information.
LACI is the research, development and global AI engineering hub for all future LAC
products. Based in Dublin, we work closely with academic and state level
research teams to advance our mission.
About us
LACI is building new products that put applied AI at their core. We’re a small, senior
team that values deep technical ownership, rigorous engineering, and building things
that work reliably in the real world. We’ll share more about what we’re building during
the interview process.
The role
We’re looking for a Lead Engineer to lead the squad building the platform our AI
products run on. You’ll own delivery from early design through to production, working
closely with our Director of Engineering, Lead Architect and Product team to turn the
overall technical direction into well-built, reliable systems. You’ll set the pace and
standards for your squad, unblock and grow the engineers around you, and make sure
projects land. This is a hands-on leadership role: you’ll still write code and build core
components yourself.
We’re hiring two Lead Engineers who work as peers, one focused on AI Platform &
Runtime and one on Agent Systems. The roles share a common core of skills, and we
expect our leads to understand each other’s domain well enough to step into each
other’s work when needed.
What you’ll do
• Lead and hire a squad of engineers to design, build, and operate the platform
and runtime behind our AI-powered products.
• Design and build reliable runtime applications, including schema-driven
workflows, and configuration models.
• Build shared platform services such as model access and routing, cost and
latency controls, tracing and observability, and evaluation infrastructure.
• Own project delivery end to end, including planning, breaking down work,
managing scope and risk, and getting things shipped.
• Own the reliability, scalability, and security of the platform, including CI/CD,
environments, and deployment.
• Make sound decisions about where configuration, deterministic logic, and AI-
driven behaviour each belong, and design the runtime to support humans in the
loop.
• Treat other squads as your customers, with clear APIs, good developer
experience, and documentation.
• Work closely with our Lead Architect and the Agent Systems lead, contributing to
design discussions and making sure your squad’s work aligns with the wider
architecture.
• Mentor and develop engineers through pairing, design reviews, and code
reviews, and raise the bar within your squad.
• Help grow the team, including hiring, interviewing, and onboarding.
• Act as the main point of contact for your squad’s work with product and non-
technical stakeholders, turning requirements into clear plans and
communicating progress, trade-offs, and risks.• Champion our AI-first engineering culture, including how the team uses AI-
assisted development tools, reviews code, and shares best practice.
What you’ll bring
• Extensive software engineering experience, typically 7+ years, with strong
production experience in Python and/or TypeScript and other full stack
technologies.
• Experience leading a team or squad, or leading projects from inception to
production.
• Experience designing and building platforms, runtimes, or internal tooling used
by other engineers.
• Practical experience with workflow engines, schema-driven systems, or domain-
specific languages.
• A solid grounding in distributed systems, cloud infrastructure, and operating
production services reliably.
• Hands-on experience shipping LLM-based systems to production, and a good
understanding of what AI workloads, including agentic patterns and structured
outputs, need from a platform.
• A disciplined, evidence-driven approach to quality, reliability, and performance.
• Strong delivery skills: you can plan work, manage priorities, and keep a team
moving in the face of ambiguity.
• Experience mentoring engineers and helping them grow.
• A collaborative approach to working with directors, architects, product
managers, and other leads.
• Clear communication with both technical and non-technical colleagues.
• Daily, fluent use of AI-assisted development tools in your own engineering work.
Nice to have
• Experience with multiple model providers, including routing, cost, and latency
optimisation.
• Experience building LLM evaluation frameworks, test datasets, or observability
tooling.
• Familiarity with retrieval-augmented generation and context engineering.
• Experience with multi-tenant systems or configuration-heavy products.
• Awareness of AI security, safety, and governance considerations.
• Experience leading a squad in an agile or early-stage environment.
Why join
• Ownership: You’ll lead a squad and own the foundations our products are built
on, from first design to production.
• Leadership with impact: You’ll shape how your squad works and help grow the
engineers in it.
• Challenging work: You’ll solve hard platform and applied AI problems with real-
world outcomes.
• AI-first culture: We use AI in what we build and in how we build it.
• Direct access: You’ll work closely with leadership in a team with minimal
process.
Benefits
• Salary and equity: A competitive base salary plus a meaningful equity package,
so you share directly in our success.
• Pension: Up to 8% employer-matched pension contribution to help you build for
your future.
• Healthcare: Comprehensive health insurance contribution for peace of mind.
• Learning & Development: A dedicated annual budget for your professional
growth, courses, and certifications.
• Home Office Allowance: A one-off budget to help you build an ergonomic and
comfortable remote workspace.
• Bike to Work Scheme: A tax-efficient cycle-to-work scheme to support greener,
healthier commutes.
Interested?
Apply, we’d especially like to hear about a platform, runtime, or
LLM-based system you’ve led into production, how you got your team there, and what
you learned along the way.
The Land Administration Company Ireland is an equal opportunity employer. Applicants
are considered without regard to race, colour, religion, age, gender, marital status,
sexual orientation or identity.