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Senior AI Engineer Adoption (background Backend)

Senior AI Engineer Adoption (background Backend)

Pharmacity
5-7 Years
Not Disclosed
  • Posted 2 hours ago
  • Be among the first 10 applicants

Job Description

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.

MAIN 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.

JOB 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.

Please submit your resume directly to [Confidential Information] to apply.

More Info

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Key Skills

LLM APIs

Git workflows

AI coding tools

CI/CD

AI agents

SDLC automation

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