Lead MLAI Engineer
Job Summary
Snapshot
Join a leading data & AI consultancy delivering production-grade AI and automation solutions across enterprise environments.
This role blends hands-on AI engineering team leadership focusing on building and scaling AI agents automation workflows and reliable AI systems.
This is not a purely strategic role this is a builder-lead position combining execution mentorship.
- Location: Remote Poland
- Compensation: PLN/ year
- Job Type: Ful-time
Ideal Candidate Profile
- Hands-on engineer who moved into leadership (not purely managerial)
- Has built AI automation systems in production
- Strong in MLOps infrastructure AI integration
- Comfortable:
- Mentoring engineers
- Explaining technical concepts to non-technical stakeholders
What Youll Do
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Lead and mentor a small engineering team (1 engineers)
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Design and deploy AI agents and automation workflows
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Maintain and improve:
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AI systems
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Reliability performance and security
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Collaborate with IT and business teams to:
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Implement AI solutions
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Drive adoption
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Support AI upskilling across teams
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Ensure scalable and secure AI operations (MLOps practices)
Tech Stack
- Azure Kubernetes (AKS)
- Docker / OCI
- Linux
- AI/ML & automation frameworks
What Were Looking For
- Proven experience delivering production-grade AI / automation systems
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Strong hands-on experience with:
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AI agents / pipelines / workflows
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Solid MLOps / DevOps foundation:
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Kubernetes (AKS preferred)
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Containerization (Docker)
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Linux systems
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Azure cloud
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Ability to:
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Lead and mentor engineers
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Work cross-functionally
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Strong communication and ownership mindset
Bonus:
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Experience in consulting / advisory roles
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Experience in enterprise environments
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AI adoption / enablement across teams
Compensation & Benefits
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PLNannually
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110 trainings Udemy access
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Strong internal growth (76% managers promoted internally)
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Workation flexible work model
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Inclusive DEI-driven culture
Location & Eligibility
Remote within Poland
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Must be based in Poland
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Must have valid work authorization
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No visa sponsorship
Why This Role
- Build and deploy real-world AI agents and automation systems
- Lead and mentor engineers while staying hands-on technically
- Work cross-functionally to drive AI adoption across the organization
- Join a stable growth-oriented company with strong learning culture
- Shape how AI is applied practically across business operations
If youre ready to lead by building shaping real AI systems while mentoring others and driving adoption across teams this is where you create lasting impact. Apply now.