AI DevOps Engineer

Lingaro Group Philippines; Manila; Hybrid; PHP 3,500,000 - 5,500,000; Full time

Benefits offered by this job

Office option (remote or in-office)

Workation

Great Place to Work certified

Flexible working hours

Buddy onboarding program

Udemy access to learning

Job summary

Lingaro Group Philippines seeks a Lead AI DevOps Engineer to oversee design and deployment of advanced AI/ML/GenAI solutions in Azure. You will lead architecture, automate pipelines, and guide cross‑functional teams toward scalable, secure production systems.

You’ll mentor engineers, drive cost optimization and observability practices, and act as a technical advisor for stakeholders and clients while delivering production‑ready AI workloads.

Qualifications

• 5+ years in DevOps/Cloud Engineering with AI/ML/GenAI project experience.
• Proven experience deploying LLMs/SLMs (model serving, inference optimization, RAG, GenAI apps).
• Expert proficiency in Linux and macOS administration; Windows a plus.
• Advanced Python and scripting (Bash/PowerShell) for automation and integration.
• Deep knowledge of IaC (Terraform, Ansible) and CI/CD (Azure DevOps, GitHub Actions, Jenkins).
• Strong expertise in Azure cloud, Kubernetes, and enterprise AI/ML platforms.
• Track record in delivering secure, production‑ready solutions for AI/ML/GenAI.
• Familiarity with monitoring, observability and FinOps practices.
• Excellent leadership, communication and mentoring skills.
• Fluency in written and spoken English.

Responsibilities

• Lead architecture and deployment of AI/ML/GenAI solutions (LLM/SLM at scale).
• Driving automation of infrastructure, model lifecycle and inference pipelines.
• Overseeing CI/CD processes for AI/ML/GenAI workloads.
• Designing secure, scalable cloud infrastructures (Azure-focused).
• Acting as technical advisor for stakeholders and client‑facing solution design.
• Mentoring engineers, promoting best practices, and fostering innovation in GenAI adoption.
• Coordinating cross‑functional teams to align AI engineering with business outcomes.
• Ensuring cost optimization, monitoring and compliance across environments.

Skills

DevOps/Cloud Engineering

LLMs/SLMs deployment

Linux/macOS administration

Python scripting

IaC (Terraform, Ansible)

CI/CD (Azure DevOps, GitHub Actions, J

Azure cloud & Kubernetes

Production AI/ML delivery

Monitoring & FinOps

Leadership & communication

English fluency

Tools

Terraform

Ansible

Azure DevOps

GitHub Actions

Jenkins

Kubernetes

Job description

Growth through diversity, equity, and inclusion. As an ethical business, we do what is right — including ensuring equal opportunities and fostering a safe, respectful workplace for each of us. We believe diversity fuels both personal and business growth. We're committed to building an inclusive community where all our people thrive regardless of their backgrounds, identities, or other personal characteristics.

Seeking a Lead AI DevOps Engineer to oversee design and delivery of advanced AI/ML/GenAI solutions. The role combines cloud engineering and automation with hands‑on leadership in deploying and integrating LLM/SLM models into enterprise applications, ensuring security, scalability, and operational excellence.

Tasks:

The person will act as a senior member of the Data Science & AI Competency Center, AI Engineering team, guiding delivery and coordinating workstreams.

• Leading architecture and deployment of AI/ML/GenAI solutions (LLM/SLM at scale).
• Driving automation of infrastructure, model lifecycle and inference pipelines.
• Overseeing CI/CD processes for AI/ML/GenAI workloads.
• Designing secure, scalable cloud infrastructures (Azure-focused).
• Acting as technical advisor for stakeholders and client‑facing solution design.
• Mentoring engineers, promoting best practices, and fostering innovation in GenAI adoption.
• Coordinating cross‑functional teams to align AI engineering with business outcomes.
• Ensuring cost optimization, monitoring and compliance across environments.

What We're Looking For:

• 5+ years in DevOps/Cloud Engineering with AI/ML/GenAI project experience.

• Proven experience deploying LLMs/SLMs (model serving, inference optimization, RAG, GenAI apps).

• Expert proficiency in Linux and macOS administration; Windows a plus.

• Advanced Python and scripting (Bash/PowerShell) for automation and integration.

• Deep knowledge of IaC (Terraform, Ansible) and CI/CD (Azure DevOps, GitHub Actions, Jenkins).

• Strong expertise in Azure cloud, Kubernetes, and enterprise AI/ML platforms.

• Track record in delivering secure, production‑ready solutions for AI/ML/GenAI.

• Familiarity with monitoring, observability and FinOps practices.

• Excellent leadership, communication and mentoring skills.

• Fluency in written and spoken English.

Missing one or two of these qualifications? We still want to hear from you! If you bring a positive mindset, we’ll provide an environment where you feel valued and empowered to learn and grow.

We offer:

• Stable employment. On the market since 2008, 1800+ talents currently on board in 7 global sites.

• “Office as an option” model. You can choose to work remotely or in the office.

• Workation. Enjoy working from inspiring locations in line with our workation policy.

• Great Place to Work® certified employer.

• Flexibility regarding working hours and your preferred form of contract.

• Comprehensive online onboarding program with a “Buddy” from day 1.

• Cooperation with top‑tier engineers and experts.

• Unlimited access to the Udemy learning platform from day 1.

• Certificate training programs. Lingarians earn 500+ technology certificates yearly.

• Upskilling support. Capability development programs, Competency Centers, knowledge sharing sessions, community webinars, 110+ training opportunities yearly.

• Grow as we grow as a company. 76% of our managers are internal promotions.

• A diverse, inclusive, and values‑driven community.

• Autonomy to choose the way you work. We trust your ideas.

• Create our community together. Refer your friends to receive bonuses.

• Activities to support your well‑being and health.

• Plenty of opportunities to donate to charities and support the environment.

• Modern office equipment. Purchased for you or available to borrow, depending on your location.