Senior AI Engineer - Adoption

Job Purpose
Designs and develops the SDLC automation platform and AI-powered tools for Tech & Product and for Enterprise POS (EPOS) - a SaaS product for pharmacies, clinics and retail - in order to drive the AI-first approach, raise engineering productivity and shorten release cycles.
KEY RESPONSIBILITIES
1. SDLC AUTOMATION PLATFORM
Design the architecture of and develop the SDLC automation platform (code generation, code review, testing, CI/CD and release) to shorten lead time from requirement to release.
Integrate the platform with Git workflows, CI/CD pipelines and Docker/Kubernetes infrastructure to keep automated flows stable and controlled.
2. INTERNAL AI TOOLS AND AGENTS
Develop internal tools and integrations that use LLMs and AI agents to automate repetitive tasks and raise engineering productivity.
Design context-provisioning mechanisms (source code, documentation, internal standards) for AI tools to improve output accuracy and reusability.
3. GOLANG BACKEND SERVICES FOR THE PLATFORM AND EPOS AI FEATURES
Develop and maintain Golang backend services for the automation platform and for AI features in EPOS to ensure performance, security and scalability.
Collaborate to deliver AI features into EPOS under the approved architecture to increase product value for customers.
4. AI ADOPTION STANDARDS AND TRAINING
Propose AI adoption standards and guidelines (prompting, review of AI-generated output, data and code security) to ensure safe and consistent AI use.
Train, demo and coach the engineering team on AI tools to raise AI adoption across Tech & Product.
5. AI ADOPTION IMPACT MEASUREMENT
Track and analyze metrics - AI tool adoption rate, cycle time, deployment frequency, code quality and AI usage cost - to assess adoption impact.
Report results regularly and propose improvement actions to inform Tech & Product AI investment decisions.
6. AI RESEARCH AND EVALUATION
Research, prototype (proof of concept) and evaluate new AI tools and models against quality, cost and security criteria to propose practical solutions.
7. OTHER DUTIES
Perform other duties assigned by the line manager, within professional scope, to support overall EPOS operations.
REQUIREMENTS
Bachelor's degree or higher, Information Technology, Computer Science, Software Engineering or related field.
5+ years in backend engineering, with strong Golang.
Experience building platforms or internal tooling, including CI/CD and DevOps automation (Docker, Kubernetes, Git workflows).
Good understanding of the SDLC and engineering best practices.
A real interest in AI, with hands-on use of LLM APIs, AI coding tools or agents.
A self-starter who can turn ideas into working solutions quickly.
Nice to have
Experience with RAG, agent frameworks or MCP.
Experience driving tool or process adoption across engineering teams.
Domain experience in retail, POS or SaaS.