Associate AI Engineer

 

At Bayer we’re visionaries, driven to solve the world’s toughest challenges and striving for a world where ,Health for all, Hunger for none’ is no longer a dream, but a real possibility. We’re doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining ‘impossible’. There are so many reasons to join us. If you’re hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there’s only one choice.

 

Associate AI Engineer 

 

Associate AI Engineer – Bayer Consumer Health

The Mission

AI should be practical, scalable, and embedded into real business processes. As an Associate AI Engineer, you will support the development and deployment of AI-powered solutions that enhance how teams across Consumer Health operate – from marketing and commercial to product supply and R&D.

You will work alongside experienced AI Engineers and Data Scientists to help turn prototypes into reliable, production-ready systems, gaining hands-on experience with modern AI stacks and agent-based solutions.

Who You Are & What You'll Do

The AI Engineering Contributor

You contribute to building and improving AI systems in Python, supporting development of production-ready solutions under guidance from senior engineers. You focus on implementing well-defined components and ensuring code quality and maintainability.

The Agent Implementation Supporter

You assist in implementing AI agents using frameworks such as LangGraph or LangChain, helping integrate them into business processes while learning best practices for multi-agent system design.

The Industrialization Supporter

You participate in scaling AI prototypes into production systems, helping ensure solutions are stable, testable, and aligned with engineering standards.

The Engineering Team Player

You collaborate closely with Data Scientists, MLOps Engineers, DevOps Engineers, and business stakeholders, contributing to team deliverables and learning how AI solutions drive business outcomes.

The Code & Quality Contributor

You manage code in GitHub repositories, contribute to peer code reviews, and follow established CI/CD practices to support reliable deployment of AI applications.

The Continuous Learner

You actively develop your skills in AI engineering, participating in workshops, training sessions, and knowledge sharing within the team.


What You Bring

Must-Have

✅ Degree in AI Engineering, Software Engineering, Computer Science, or a related field
✅ 1–2 years of experience in software engineering or AI-related roles
✅ Strong Python programming skills
✅ Basic hands-on experience with Generative AI systems
✅ Familiarity with frameworks such as LangChain, LangGraph, or similar
✅ Basic API development skills (e.g., FastAPI)
✅ Understanding of cloud platforms (Azure or AWS)
✅ Familiarity with databases (relational or vector) and containerization (Docker)
✅ Basic understanding of CI/CD concepts and GitHub workflows
✅ Strong problem-solving approach and willingness to learn
✅ Fluent English (written and spoken)

Nice-to-Have

⭐ Exposure to RAG pipelines and working with unstructured data
⭐ Basic knowledge of Text-to-SQL concepts
⭐ Familiarity with multimodal document parsing
⭐ Experience with Databricks ecosystem
⭐ Awareness of AI evaluation or observability tools
⭐ Interest in prompt engineering, context engineering and LLM optimization techniques

⭐ Knowledge of Model Context Protocol for tool integration
⭐ Exposure to Infrastructure as Code concepts

Why This Role Is a Great Start

🚀 Hands-on learning – gain real experience building AI systems used in production
🤝 Strong mentorship – work closely with experienced AI Engineers and Data Scientists
🌍 Business impact – contribute to solutions used across multiple global business domains
🧠 Modern AI stack – learn practical applications of GenAI, RAG, and agent-based systems in enterprise settings

You feel you do not meet all criteria we are looking for? That doesn’t mean you aren’t the right fit for the role. Apply with confidence, we value potential over perfection!


At Bayer, we are committed to transparency, equal pay for equal work or work of equal value, and objective reward practices in line with EU and local regulations. The minimum monthly gross compensation for this role is 11 600 PLN, with final pay determined based on objective factors such as experience, qualifications, scope of responsibility, and internal alignment.

This position is eligible for variable pay components, such as performance‑based bonuses, awarded in accordance with the applicable employee group, role scope, and compensation structure.

In addition, Bayer offers a competitive and holistic benefits package, including:

- Medical care above statutory requirements

- Flexible benefits supporting leisure, and well‑being/sports programs

- Life, accident, and disability insurance through group coverage

- Employer‑supported pension plans with regular company contributions

- Home office allowance to support hybrid or remote work

- Extra Paid Holidays

Benefits may vary depending on country, role, and employment conditions. 

WORK LOCATION: WARSAW AL. JEROZOLIMSKIE 158

 

    YOUR APPLICATION      

Bayer welcomes applications from all individuals, regardless of race, national origin, gender, age, physical characteristics, social origin, disability, union membership, religion, family status, pregnancy, sexual orientation, gender identity, gender expression or any unlawful criterion under applicable law. We are committed to treating all applicants fairly and avoiding discrimination.

Bayer is committed to providing access and reasonable accommodations in its application process for individuals with disabilities and encourages applicants with disabilities to request any needed accommodation(s) using the contact information below. 

Bayer offers the possibility of working in a hybrid model. We know how important work-life balance is, so our employees can work from home, from the office or combine both work environments. The possibilities of using the hybrid model are each time discussed with the manager.
Bayer respects and applies the Whistleblower Act in Poland.

          Location: Poland : Mazowieckie : Warszawa      Division: CH Data Assets Analytics and AI Platform    Reference Code: 875620     

 

 

Location:

Poland : Mazowieckie : Warszawa  

 

Division:

CH Data Assets Analytics and AI Platform 

 

Reference Code:

875620