Senior Engineer - AI Agent Systems

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 Senior Engineer to join our Agent Systems squad and build our first

end-to-end agent pipeline, taking complex source material all the way through to

validated, structured output. You’ll take ideas from early design through to production,

shape key technical decisions, and help set the engineering standards the squad builds

on. This is a hands-on role with a high degree of ownership and influence.

We’re hiring two Senior Engineers, one in our Agent Systems squad and one in our AI

Platform & Runtime squad. The roles share a common core of skills, and we expect our

engineers to understand each other’s work well enough to collaborate closely and step

in when needed.

What you’ll do

• Design, build, and deploy a production-grade, multi-step agent pipeline powered

by large language models, starting with a first pilot and growing from there.

• Decompose complex problems into specialised agents and steps, such as

extraction, analysis, reconciliation of conflicting sources, output generation,

and self-critique.

• Engineer reliable structured outputs that conform to a defined schema and that

downstream systems can depend on.

• Build robust orchestration, including retries, error handling, and recovery, so the

pipeline behaves predictably when models or inputs don’t.

• Make sure every generated value carries a precise citation back to its source, so

outputs are traceable and reviewable.

• Make sound trade-offs between AI-driven and deterministic approaches, and

know when a human should be in the loop.

• Build evaluation and measurement into everything, so quality improvements are

evidence-based.

• Work closely with your lead, our Lead Architect, product, and domain experts to

turn complex requirements into working solutions.

• Contribute to our AI-first engineering culture, including how the team uses AI-

assisted development tools, reviews code, and shares best practice.

What you’ll bring

• Strong software engineering experience, typically 5+ years, with solid production

experience in Python and/or TypeScript and other full stack technologies.

• Hands-on experience shipping LLM-based systems to production, beyond

prototypes.

• Deep practical experience with agentic patterns, such as tool use and function

calling, orchestration, multi-step reasoning, and structured outputs.• Experience making LLM outputs reliable, including schema-constrained

generation, validation, and handling of failures and retries.

• A solid understanding of retrieval-augmented generation, context engineering,

and the trade-offs between prompting, retrieval, and fine-tuning.

• A disciplined, evidence-driven approach to improving AI system quality.

• Comfort working with ambiguity and defining the approach yourself, not just

implementing it.

• 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 building LLM evaluation frameworks or test datasets.

• Experience with grounding, citation, or provenance for LLM outputs.

• Experience reconciling information from multiple or conflicting sources.

• Experience with multiple model providers, including routing, cost, and latency

optimisation.

• Awareness of AI security, safety, and governance considerations.

Why join

• Ownership: You’ll build a core system from the ground up and see it through to

production.

• Challenging work: You’ll solve hard 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 an LLM or agent-based

system you’ve shipped to production, how you made its outputs reliable, and what you

learned from it.

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.