Ai Engineer

Amaris
Barcelona, Spain
15 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Cloud Computing Continuous Integration DevOps Software Engineering Systems Integration Web Platforms Spring Cloud GitHub Copilot Large Language Models Backend
+5 more
Information Technology Enterprise Integration Front End Software Development GPT Microservices

Job description

Ready to take your career to the next level?JoinAmaris Consultingand work on projects that impact thousands of users worldwide.Be part of an international team, grow in an agile environment, and develop your career within a global group that values innovation, collaboration, and talent.As anAI Engineering Enablement Specialist, you will play a key role in driving the adoption ofAI-assisted software engineeringacrossdistributed digital platforms and eCommerce/composable commerce environments.You will be the bridge betweenEngineering, QA, and DevOpsteams, helping them leverage AI tools, modern practices, and automation to boost productivity, quality, and developer experience.What we’re looking forBachelor’s degree inComputer Science, Software Engineering, or equivalent.Proven experience withAI-assisted software engineering workflows(e.g. GitHub Copilot, ChatGPT, Codeium or similar) andmodern development tooling.Experience working withdistributed digital platformsandenterprise integration ecosystems.Hands?on experience withfrontend/backend technologies, APIs, cloud?native architectures, microservices, and CI/CD practices.Strongcollaboration and communication skillsin distributed engineering organizations (remote, multicultural, multi?vendor teams).Ability totrain, coach, and support teamsadopting new engineering practices, tools, and workflows.High level ofautonomyand a proactive mindset to identify opportunities anddrive initiativesend?to?end.Ability todrive adoption and influence engineering practiceswithout direct line management authority (influencing through expertise and leadership).Nice to haveFamiliarity withLLM?based automationandenterprise AI tooling evaluation/adoption.What you will doEvaluate, select, and promoteAI-assisted engineering tools and workflows, ensuring alignment with enterprise standards and governance.Collaborate withEngineering, QA, and DevOpsteams to identifyautomation and productivity opportunitiesacross frontend, backend, APIs, integrations, and CI/CD pipelines.Drive the adoption ofAI-assisted development, testing, documentation, and observability, helping teams embed these practices into their daily work.Support AI-assisted workflows acrosscomposable commerce platforms, cloud-native applications, integration layers, and existing eCommerce systems.Contribute toreusable engineering practices, governance frameworks, and shared standardsacross squads and vendors.Define and trackkeyengineering productivity, QA, and operational metricsto measure the impact of AI adoption and automation initiatives.Career growth:70% of our senior leaders started in junior positions.Continuous learning:access to our Technology Academy, Udemy courses, webinars, and company?funded certifications (including AI and cloud).Flexibility:remote work options, flexible working policies, and social benefits (meal vouchers, transport, childcare support, private health insurance, etc.).Wellbeing:ourWeCareprogram supports employees in critical life situations.Personal development:annual training budget to grow both your hard and soft skills.AtAmaris Consulting, we are committed to creating an inclusive environment.We welcome all qualified applications regardless of gender, sexual orientation, race, ethnicity, age, or any other characteristic.#J-*****-Ljbffr

Requirements

Bachelor’s degree in Computer Science, Software Engineering , or equivalent. Proven experience with AI-assisted software engineering workflows (e.g. GitHub Copilot, ChatGPT, Codeium or similar) and modern development tooling . Experience working with distributed digital platforms and enterprise integration ecosystems . Hands?on experience with frontend/backend technologies, APIs, cloud?native architectures, microservices, and CI/CD practices . Strong collaboration and communication skills in distributed engineering organizations (remote, multicultural, multi?vendor teams). Ability to train, coach, and support teams adopting new engineering practices, tools, and workflows. High level of autonomy and a proactive mindset to identify opportunities and drive initiatives end?to?end. Ability to drive adoption and influence engineering practices without direct line management authority (influencing through expertise and leadership). Nice to have Familiarity with LLM?based automation and enterprise AI tooling evaluation/adoption

Benefits & conditions

Ready to take your career to the next level? Join Amaris Consulting and work on projects that impact thousands of users worldwide. Be part of an international team, grow in an agile environment, and develop your career within a global group that values innovation, collaboration, and talent. As an AI Engineering Enablement Specialist , you will play a key role in driving the adoption of AI-assisted software engineering across distributed digital platforms and eCommerce/composable commerce environments . You will be the bridge between Engineering, QA, and DevOps teams, helping them leverage AI tools, modern practices, and automation to boost productivity, quality, and developer experience.

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:14 min

Exploring internal AI product initiatives and global engineering roles

Maria Apazoglou · Coffee With Developers

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Generative pre-trained transformer models powering code completions

lgonta lgonta +1 · WWC 2024

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Mapping the maturity roadmap for scaled devops adoption

Dominik Krichbaum Dominik Krichbaum · WWC Europe 2026

1:52 min

Structuring and scaling the backend engineering team

Stefan Lingler Stefan Lingler +1 · Coffee With Developers

1:20 min

Identifying multi-disciplinary talent for developer experience engineering roles

Hazal Mestci +1 · Coffee With Developers

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Assessing GPT-4o performance for pull request feedback

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