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Senior AI DevOps Engineer
Lingaro
Salary
PLN 384k – PLN 413k
Work mode
Remote
What we're looking for
- 5+ years in DevOps/Cloud Engineering with AI/ML/GenAI project experience
- Proven experience deploying LLMs/SLMs
- Expert proficiency in Linux and macOS administration
- Advanced Python and scripting for automation and integration
- Deep knowledge of IaC and CI/CD tools
About the role
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:
- Act as a senior member of the Data Science & AI Competency Center, AI Engineering team, guiding delivery and coordinating workstreams.
- Lead architecture and deployment of AI/ML/GenAI solutions (LLM/SLM at scale).
- Drive automation of infrastructure, model lifecycle, and inference pipelines.
- Oversee CI/CD processes for AI/ML/GenAI workloads.
- Design secure, scalable cloud infrastructures (Azure-focused).
- Act as technical advisor for stakeholders and client-facing solution design.
- Mentor engineers, promote best practices, and foster innovation in GenAI adoption.
- Coordinate cross-functional teams to align AI engineering with business outcomes.
- Ensure cost optimization, monitoring, and compliance across environments.
Tasks:
- Act as a senior member of the Data Science & AI Competency Center, AI Engineering team, guiding delivery and coordinating workstreams.
- Lead architecture and deployment of AI/ML/GenAI solutions (LLM/SLM at scale).
- Drive automation of infrastructure, model lifecycle, and inference pipelines.
- Oversee CI/CD processes for AI/ML/GenAI workloads.
- Design secure, scalable cloud infrastructures (Azure-focused).
- Act as technical advisor for stakeholders and client-facing solution design.
- Mentor engineers, promote best practices, and foster innovation in GenAI adoption.
- Coordinate cross-functional teams to align AI engineering with business outcomes.
- Ensure cost optimization, monitoring, and compliance across environments.
Compensation & benefits
Stable employment
Office as an option model (remote or office work)
Workation policy
Great Place to Work® certified employer
Flexibility regarding working hours and 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
Upskilling support
Capability development programs
Competency Centers
Knowledge sharing sessions
Community webinars
110+ training opportunities yearly
Internal promotions (76% of managers)
Diverse, inclusive, and values-driven community
Autonomy to choose the way you work
Referral bonuses
Activities to support well-being and health
Opportunities to donate to charities and support the environment
Modern office equipment
About Lingaro
An ethical business committed to diversity, equity, and inclusion, ensuring equal opportunities and fostering a safe, respectful workplace. The company believes diversity fuels both personal and business growth and is committed to building an inclusive community where all people thrive regardless of their backgrounds, identities, or other personal characteristics.
Team
- Data Science & AI Competency Center, AI Engineering team