Ageiro ARK, the Decision Intelligence Layer for AECO
Engineering

Software Engineer (AI-Accelerated)

Build the governed, agentic systems behind ARK - and stay the human authority on correctness, security and system integrity.

Remote (UK based)Full-timeReports to Head of Engineering
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The mission: building the agentic future

We are building agentic software: intelligent systems designed to solve complex, real-world problems autonomously. Because our software runs in highly sensitive environments - customer clouds, private Kubernetes, and air-gapped networks - our development process must be as rigorous as it is fast.

In this era of AI-augmented development, we define seniority by governance. We are looking for a traditional, battle-hardened software engineer who uses AI as a high-leverage tool to accelerate a governed, human-in-the-loop development lifecycle. You aren’t just “vibe-coding”; you are a technical architect who uses AI to move faster while remaining the ultimate authority on correctness, security, and system integrity.

What you’ll own (technical execution)

  • Feature lifecycle & integrity. You own features from the first line of logic to the moment they run in a customer’s cloud. You use AI to accelerate your velocity, but you are the human-in-the-loop ensuring the output meets our standards for performance and maintainability.
  • Technical standards in practice. You don’t just “follow” the stack; you help refine it. You ensure our use of TypeScript (strict mode), Bun/Elysia, and Drizzle is consistent and high-quality across the modules you touch.
  • The “installability” of your code. Since we ship into customer clouds, you own the operability of your work. You ensure your features are easy to deploy via Kubernetes, properly namespaced, and accompanied by the automation needed for a smooth install.
  • Data isolation logic. You are responsible for the technical implementation of multi-tenancy. You don’t just hope data is isolated; you write the schema-level constraints and the rigorous test suites that prove one customer can never see another’s data.
  • Observability implementation. You own the signals for your features. You ensure every agentic action is captured via OpenTelemetry so that when a system acts autonomously, we - and the customer - can see exactly why.
  • Code review & mentorship. You act as a technical peer-reviewer. You help ensure the team’s AI-assisted contributions don’t introduce technical debt, hallucinated logic, or security vulnerabilities.

Who you are

  • The governance mindset. You believe seniority is about being the calibration anchor for quality. You have the experience to know when a shortcut will cause a fire in six months, and the discipline to prevent it.
  • AI-leveraged, not AI-dependent. You use GenAI and AI-assisted tools to 10x your output, but you are a traditional engineer at your core. You can debug a race condition, read a Kubernetes manifest, and optimize a SQL query without help. You lead the AI; it doesn’t lead you.
  • Technical depth. You have shipped production TypeScript in the last 18 months. You can spot issues in a Drizzle migration or a React server component on the first pass. You are comfortable in a strict, highly opinionated codebase.
  • Multi-tenant & Kubernetes instincts. You have battle scars from building systems where data isolation is a legal requirement, not a suggestion. You are fluent in Kubernetes (ingress, network policies, resource limits) and know how to make software operable for a customer’s SRE team.
  • Clear communicator. You believe that in a remote, high-velocity team, clear writing is a superpower. You document your architectural decisions and runbooks so they are readable by both humans and the agents we build.

Bonus points (genuinely not requirements)

  • Kubernetes. Production experience running Kubernetes on AWS (EKS, IRSA, ALB ingress, Karpenter or autoscaling).
  • AWS experience. Depth in core AWS services and the IAM/networking model that makes them safe in a customer’s account.
  • Amazon Bedrock. Hands-on work with Amazon Bedrock - model access, Guardrails, Knowledge Bases, or Agents - especially in a regulated or data-sensitive setting.

Our technical stack

Runtime & Backend

Bun, Elysia, Drizzle ORM, Postgres 15+

Frontend

Next.js 15 (App Router), React 19, Tailwind

Infrastructure

Kubernetes, RabbitMQ, Valkey (Redis-compatible)

Identity & Observability

Keycloak (OIDC/SAML), OpenTelemetry

Cloud & AI Platform

AWS (EKS, IAM, VPC, S3, RDS), Amazon Bedrock

These are where we’re heading, not where we’ve always been.

Success in 12 months

  • High-velocity delivery. You have demonstrated that a senior engineer using AI can ship higher-quality features faster than a traditional team.
  • Bulletproof governance. The codebase remains clean, strictly typed, and secure, with test coverage that proves our tenant isolation works.
  • Agentic success. You have successfully shipped at least one major agentic feature that autonomously solves a complex customer problem in a secure, observable way.

Sound like you?

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