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AI Developer

Role overview

Qualifications

  • Hands-on LLM application experience
  • Strong programming skills in Python and SQL
  • Familiarity with modern AI frameworks
  • Cloud platform experience (AWS, Azure, GCP)

Responsibilities

  • Partner with Business and data teams on AI solution delivery
  • Develop AI agents and RAG systems on enterprise data platforms
  • Participate in workshops to understand business stakeholders' needs
  • Contribute to architecture decisions for local data compliance

Key facts

  • Remote from: Czechia
  • Full time
  • Mid-level (2-5 years)
  • AI Developer
  • Czech, English

Hard skills

Other skills

  • Communication
  • Curiosity

About the company

Ingersoll Rand logo

Ingersoll Rand

Industrial Machinery Manufacturing

Ingersoll Rand Inc. (NYSE:IR), driven by an entrepreneurial spirit and ownership mindset, is dedicated to Making Life Better for our employees, customers, shareholders, and planet. Customers lean on us for exceptional performance and durability in mission-critical flow creation and industrial solutions. Supported by over 80+ respected brands, our products and services excel in the most complex and harsh conditions. Our employees develop customers for life through their daily commitment to expertise, productivity, and efficiency. For more information, visit www.IRCO.com.

Company details

IndustryIndustrial Machinery Manufacturing
Company size10001

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Job description

 

Job Title 

AI Developer

Location  

Remote or on site (Brno), Czech Republic

About Us

Ingersoll Rand is a global leader in mission-critical industrial technologies, with over 70 brands serving customers in industrial, life sciences, precision technologies, and clean energy markets. We are scaling our AI capabilities globally through our AI Center of Excellence, building enterprise-grade AI products that transform how our business operates. We are investing in AI talent across our regions and business units to accelerate our impact.

Job Summary

The AI Developer will be a hands-on contributor on our AI team, working alongside the AI Technical Leader to design, build, and scale AI solutions for the business. You will be in the code, building agents, RAG systems, and AI-powered applications that solve real business problems for our sales teams, service technicians, supply chain operations, and manufacturing sites. This is a builder and Ai products owner role. You will spend most of your time designing and developing Ai solutions, interacting with end-users, discussing requirements and translating the same into value-delivering Ai solutions. integrating with enterprise systems, and bringing AI solutions from prototype to production. You will work directly with our global AI team across multiple regions, contributing to a federation of AI engineers shipping AI enterprise grade products.

Responsibilities

  • You will partner with Business, AI-COE and data teams on the discovery, design, and delivery of AI solutions tailored for your business unit or region. Your focus will be on hands-on engineering: building, integrating, and iterating.
  • Specifically, you will develop AI agents and RAG systems on top of our enterprise data platforms (Snowflake, Google Cloud Platform, and any approved regional platforms required for your geography). You will write Python and SQL to build data pipelines, prompt engineering workflows, and integrations between AI applications and source systems such as Salesforce, SAP, and SharePoint. You will work with vector databases, LLMs (including Claude, Gemini, and any approved regional models required for your geography), and modern AI frameworks (LangChain, LangGraph, MCP, and similar).
  • You will participate in workshops with business stakeholders to understand their pain points, contribute to technical scoping, and translate requirements into working prototypes. You will then iterate those prototypes into production-grade solutions, working with our data engineering and AI Ops teams for deployment and monitoring.
  • You will also help us navigate the technical landscape of your region or business unit, contributing to architecture decisions that account for local data residency, regulatory compliance, and approved vendor ecosystems where applicable.

Basic Qualifications

We are open to candidates at varying levels of experience, from early-career engineers who have demonstrated strong AI building skills to mid-level engineers with 4+ years of hands-on experience. The bar is on quality of work and learning velocity, not on years served. Beyond technical skills, we are looking for someone who is genuinely curious about how AI delivers business value.

  • Hands-on LLM application experience: practical work with RAG architectures, prompt engineering, agentic workflows, and at least one production AI system you helped ship.
  • Strong programming skills: Python is essential, along with SQL and experience working with structured and unstructured data at enterprise scale.
  • Modern AI frameworks: familiarity with LangChain, LangGraph, llama-index, or equivalents, plus working knowledge of vector databases and embedding models.
  • Cloud platform experience: any major cloud platform (AWS, Azure, GCP, or other enterprise-grade cloud providers approved for your region).
  • Communication: professional fluency in English with our global team across time zones.
  • Education: Bachelor's or Master degree in Computer Science, Software Engineering, Data Science, or related technical field.

Travel & Work Arrangements/Requirements

  • Fully remote (or hybrid model with up to 50 % Home Office)
  • Occasional travel

What we Offer

You will join a small, high-performing global AI team that operates as a peer federation rather than a hierarchy. You will work on enterprise-scale AI products with real business impact, with direct exposure to senior leaders across the company. You will have the opportunity to grow into more senior roles as our AI practice scales across regions and business units. Compensation is competitive and reflects the demand for AI talent in the market.

  • Motivating salary and annual bonuses
  • Meal vouchers
  • Equity grant (company shares)
  • Flexipass vouchers 750 CZK or Multisport Card for free
  • 5 weeks of holiday, sick days, Volunteering day
  • Celebrate your birthday (day off)
  • Flexible working hours
  • Possibility of Home Office
  • Contribution to language/professional courses 6000 CZK
  • Contribution to pension and life insurance
  • Mobile service employee program
  • Pleasant and modern working environment close to the city centre
  • Refreshment at the workplace for free
  • Employee assistance program
  • LinkedIn Learning free access
 

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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