Senior AI/ML Engineer

📍 Hybrid in Warsaw (3 days/week onsite required) | 💼 Full-time | B2B contract up to $7,000/month

About the Role

We’re seeking a skilled MLOps / AIOps Engineer to lead the deployment, operation, and monitoring of AI services in production. You’ll operate at the intersection of infrastructure engineering and AI systems, ensuring our AI-powered APIs, RAG pipelines, MCPs, and agentic services run reliably, securely, and at scale. You’ll collaborate closely with ML Engineers, Python Developers, and AI Architects to design resilient infrastructure and operational workflows for distributed AI applications.

Key Responsibilities
● Design, provision, and maintain infrastructure-as-code for AI service deployment (using tools like
Terraform, Pulumi, AWS CDK).
● Build and manage CI/CD pipelines for deploying AI APIs, RAG pipelines, MCP services, and LLM agent
workflows.
● Implement and maintain operational and LLM observability through monitoring and alerting
systems.
● Track AI-specific operational metrics, including inference latency, error rates, drift detection, and
hallucination monitoring.
● Optimize inference workloads and manage distributed AI serving frameworks (Ray Serve, BentoML,
vLLM, Hugging Face TGI, etc.).
● Collaborate with ML Engineers and Python Developers to define scalable, secure, and automated
deployment processes.
● Enforce operational standards for AI system security, data governance, and compliance.
● Stay current with evolving AIOps and LLM observability frameworks, integrating emerging tools and
best practices into our stack.

Required Skills & Experience
● Proficiency with cloud infrastructure (AWS, Azure, or GCP) and container orchestration platforms
(Docker, Kubernetes, ECS/EKS).
● Hands-on experience deploying and managing AI/ML services in production.
● Strong understanding of CI/CD pipelines for AI services, LLM workflows, and model deployments.
● Experience working with distributed AI serving frameworks and inference optimization strategies.
● Solid grasp of observability practices, operational monitoring, incident response, and AI-specific
performance tracking.
● Familiarity with defining and maintaining AI system health metrics, dashboards, and alerts.
● Awareness of AI security considerations, data protection policies, and operational governance
requirements.
● Curiosity and openness to adopting emerging

What’s Offered

• B2B contract with monthly compensation up to $7000
• Strong career growth opportunities in a global fintech environment
• High-impact projects in a fast-growing sector
• Friendly, open, and ambitious team culture
• Hybrid model – minimum 3 days/week in the Warsaw office