Senior AI Engineer – Agentic AI Platform

Description

The company is building an enterprise agentic AI platform so that AI agents can automate and improve business workflows across the organization.

You will design, build, and scale AI solutions that combine reasoning, knowledge retrieval, and integration with enterprise systems, and help set standards for AI engineering, governance, and platform work.

The company makes thermal management products, building systems, and energy efficiency and decarbonization solutions for data centers, healthcare, pharmaceuticals, advanced manufacturing, and higher education, and has done so for more than 140 years.

The team works with engineers, data teams, and business stakeholders, and the role carries technical leadership and mentoring.

Responsibilities

• Design and deploy AI agents and agentic workflows that solve real business problems.
• Build RAG and knowledge retrieval solutions on enterprise data sources.
• Connect AI solutions to APIs, business applications, and data platforms.
• Set standards for evaluating, monitoring, securing, and governing AI systems.
• Improve AI solutions for quality, reliability, scalability, and cost.
• Work with engineers, data teams, and business stakeholders to deliver measurable results.
• Lead technical work, mentor team members, and guide them.

Requirements

• Ability to turn complex business problems into scalable AI solutions, with a systems-thinking approach.
• Experience designing and deploying AI or machine learning solutions in production.
• Experience building and deploying LLM-powered applications.
• Hands-on work with RAG, prompt engineering, tool and function calling, and agentic workflows.
• Ability to assess and improve AI system performance and reliability.
• Strong Python skills.
• Strong SQL and data management skills.
• Experience connecting AI solutions to APIs, enterprise systems, and cloud platforms, preferably Microsoft Azure.
• Ability to explain technical ideas to business stakeholders.
• Ability to lead technical initiatives and mentor others while working well in fast-changing environments.
• Backgrounds in AI engineering, generative AI engineering, applied AI, machine learning engineering, AI platform engineering, software engineering, solution architecture, MLOps, data science, or cloud engineering are all welcome, as long as you have hands-on experience deploying AI or machine learning solutions in production.
• Preferred: experience with Azure OpenAI, Azure AI Foundry, and Azure AI Search.
• Preferred: experience with agent orchestration frameworks such as LangGraph, LangChain, Semantic Kernel, AutoGen, CrewAI, or similar.
• Preferred: experience with vector databases, embeddings, and retrieval-based architectures.
• Preferred: experience with MLOps, CI/CD, monitoring, observability, and AI governance.
• Preferred: experience building reusable AI platforms or enterprise-scale AI solutions.

Conditions

Hybrid working model.

Flexible working hours and home office days.

Initial basic salary of €2,700 to €4,215 per month, plus a 13th-month salary after your first six months in the role.

The final package reflects your experience, skills, and qualifications for the role.

The company is committed to fair, equitable, and gender-neutral pay.

Benefits

• Help build the company's enterprise agentic AI platform from the ground up.
• Work on complex business problems with cutting-edge AI technologies at global scale.
• Access the latest AI tools, cloud platforms, and enterprise datasets.
• Sponsorship for Azure and AI certifications, plus dedicated learning support.
• Influence AI strategy, architecture, and engineering standards.
• Technical leadership and mentoring opportunities.
• Meal vouchers fully covered by the company.
• A flexible benefits budget with more than 3,500 options, including a MultiSport card and medical and wellness services.
• Extra savings on retail and lifestyle purchases through Benefit+.
• An allowance for private kindergarten or nursery costs.
• Support for language courses, professional development, and wellbeing.
• On-site perks including massages, fruit, yoga, psychological support, health initiatives, and employee events such as volunteering and branding activities.
• Seniority benefits: an extra monthly financial allowance, medical care and support, and a wellbeing day.
• Relocation support, including a housing allowance, if you move to Slovakia.