AI Engineer

Grow your career with us Here at Averis, our common purpose is to improve lives by developing resources sustainably. Our people are crucial in helping us to realise our vision to be one of the best Global Business Solution (GBS) organization to support our customers in creating value for the Community, Country, Climate, Customer and Company. Responsibilities: Position Summary We're looking for a versatile AI Engineer to build and own GenAI-powered products end-to-end. This is a forward-deployed, product-minded role: you'll work directly with business stakeholders — often without a product or project manager in between — to turn ambiguous needs into working software. The work is an even split between building new LLM-powered features and applications and taking ownership of existing digital apps built by various contributors (including AI-assisted codebases) — hardening, debugging, and improving them. You should be comfortable both starting from a blank page and working in inconsistent, inherited systems. We're an enterprise environment, but we want an early-stage-startup mindset: you take strong ownership, move without waiting to be told, communicate clearly, and drive work to done. If you pair the maturity to navigate ambiguity, stakeholders, and messy systems with the drive to own outcomes end-to-end, this role is for you. What you'll do Work directly with business stakeholders to scope, prioritize, and deliver — translating needs into requirements yourself rather than waiting for a spec Build new GenAI/LLM features and applications, and the APIs and services that integrate them with internal systems Take over existing applications: inspect, debug, validate AI-generated code, and fix correctness, security, and performance issues Standardize quality, architecture, testing, and documentation across inconsistent codebases Use AI coding tools (e.g. Claude Code, Cursor) to move faster, while applying your own engineering judgment on what to trust Improve the team's prompting, tooling, and QA practices for AI-assisted development Write clear documentation: architecture notes, setup guides, runbooks, handover materials Requirements 7+ years of hands-on full-stack or product engineering experience, shipping and supporting production applications Strong across the stack: frontend, backend, APIs, databases, auth, and integrations Strong debugging and root-cause analysis, including in messy or poorly documented codebases Practical experience with AI coding tools, and the judgment to tell when their output is wrong, unsafe, or fragile Comfortable with cloud, containers, CI/CD, and basic observability Ownership mentality as a self-starter who defines their own work, drives it to done, and doesn't need close management Comfortable navigating competing stakeholders, unclear requirements, and organizational messiness — the kind of judgment that comes from enterprise, consulting, or startup environments Good written and verbal…