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.

Senior AI Engineer 

We are looking for a Senior AI Engineer! 

A Senior AI Engineer leads the design, development, and implementation of artificial intelligence solutions that address specific business problems. Individuals in this role have extensive experience with machine learning models, natural language processing, computer vision, or other AI technologies. They collaborate closely with data scientists, data engineers, and cloud engineers to deliver AI solutions that drive business value.

YOUR TASKS AND RESPONSIBILITIES: 

1. Deep Learning & Transformer Architecture
   1. Develop a solid understanding of neural networks and their applications in various AI tasks.
   2. Design and implement transformer architectures for diverse applications, including natural language processing (NLP) and computer vision.
   3. Explore and experiment with multi-modal diffusion architectures as a good-to-have component.
2. LLM Development & Implementation
   1. Build and fine-tune large language models (LLMs) for specific use cases, including document comparison, chunking, and retrieval-augmented generation (RAG).
   2. Develop and enhance chatbot and NLP-based applications to improve user interactions and experiences.
   3. Integrate embedding models with vector databases, utilizing tools such as FAISS, Pinecone, and AWS OpenSearch.
3. Multi-Agent & Rules-Based AI Implementation
   1. Implement rules-based AI logic within applications to enhance decision-making processes.
   2. Develop and orchestrate multi-agent AI systems to solve complex problems efficiently.
   3. Utilize frameworks like LangChain, LangGraph, and LlamaIndex (GPT Index) to create and manage workflows that chain multiple LLMs together.
4. AI Tools & Libraries
   1. Leverage AWS AI services, such as Amazon Bedrock and SageMaker, to build and deploy AI solutions.
   2. Utilize libraries and APIs from Hugging Face and OpenAI to enhance model capabilities and performance.
5. Cloud & DevOps (AWS Focused)
   1. Deploy AI models using AWS services like Fargate, EKS, and ECS, ensuring scalability and reliability.
   2. Implement continuous integration and continuous deployment (CI/CD) pipelines for AI models using AWS CodeBuild, CodePipeline, and Lambda Functions.
   3. Work with containerized AI services using Docker and Kubernetes to streamline development and deployment processes.
6. Model Deployment & API Integration
   1. Demonstrate hands-on Python experience by delivering at least two AI projects from inception to production.
   2. Develop and integrate APIs (REST APIs, GraphQL, AWS API Gateway) to facilitate communication between AI models and applications.
   3. Reuse and customize GitHub-based AI repositories, adapting them for production use and ensuring high-quality code standards.

WHO YOU ARE:

Required:

• Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
• 8+ years of experience in AI / MI roles with the required skills.
• Basics of Deep Learning Transformer Architecture
  • Understanding of Neural Networks
  • Transformer Architecture and Applications
  • MultiModal Diffusion Architecture (Good to have)
• LLM Development & Implementation
  • Hands-on experience in building and fine-tuning LLMs for:
  • Document comparison & chunking
  • Retrieval-Augmented Generation (RAG)
  • Chatbot & NLP-based applications
  • Experience in embedding models and vector database integration (FAISS, Pinecone, AWS OpenSearch).
• Multi-Agent & Rules-Based AI Implementation
  • Implementing rules-based AI logic in applications.
  • Developing multi-agent AI systems with orchestration.
  • Hands-on with LangChain, LangGraph, LlamaIndex (GPT Index) for chaining multiple LLM workflows.
• AI Tools & Libraries
  • Strong knowledge of AWS AI Services:
  • Amazon Bedrock, SageMaker etc
  • Hands-on with Hugging Face, OpenAI API, GPT models.
• Cloud & DevOps (AWS Focused)
  • Deploying AI models using AWS Fargate, EKS, ECS.
  • Implementing CI/CD for AI models using AWS CodeBuild, CodePipeline, Lambda Functions.
  • Experience in containerized AI services using Docker & Kubernetes.
• Model Deployment & API Integration
  • Hands-on Python experience with at least two delivered AI projects.
  • API development and integration: REST APIs, GraphQL, AWS API Gateway.
  • Reusing and customizing GitHub-based AI repositories for production use.

Preferred:

• • ​Relevant certifications in AI, machine learning, or data science (e.g., AWS Certified Cloud / AI practitioner, Azure Fundamentals)
  • Experience with multi-modal architectures and advanced AI techniques.
  • Knowledge of AI ethics and governance practices.
  • Familiarity with Agile methodologies and project management tools.

WHAT DO WE OFFER:

• A flexible, hybrid work model 
• Great workplace in a new modern office in Warsaw
• Career development, 360° Feedback & Mentoring programme
• Wide access to professional development tools, trainings, & conferences
• Company Bonus & Reward Structure 
• Increased tax-deductible costs for authors of copyrighted works
• VIP Medical Care Package (including Dental & Mental health)
• Life & Travel Insurance
• Pension plan
• Co-financed sport card - FitProfit
• Meals Subsidy in Office 
• Budget for Home Office Setup & Maintenance
• Access to Company Game Room equipped with table tennis, soccer table, Sony PlayStation 5 and Xbox Series X consoles setup with premium game passes, and massage chairs
• Tailored-made support in relocation to Warsaw when needed
• Please send your CV in English 

WORK LOCATION: WARSAW AL. JEROZOLIMSKIE 158

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!