Senior Software Development Engineer (AI/ML and GenAI Engineer)

The Senior Software Engineer role is an individual contributor position within the software product development organization, responsible for understanding requirements thoroughly, identifying and bridging gaps, and designing, implementing, and testing end‑to‑end AI-driven solutions. We are seeking an experienced AI/ML and GenAI Engineer to lead the design, development, and deployment of advanced machine learning and generative AI solutions. You will play a key role in architecting scalable AI systems, including LLM‑based and agentic workflows, mentoring junior engineers, and driving AI initiatives from concept to production.

Why should you join Diebold Nixdorf?

Brightest minds + technology and innovation + business transformation  The people of Diebold Nixdorf are 23,000+ teammates of diverse talents and expertise in more than 130 countries, harnessing future technologies to deliver personalized, secure consumer experiences that connect people to commerce. Our culture is fueled by our values of collaboration, decisiveness, urgency, willingness to change, and accountability.

–Diebold Nixdorf is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity, age, marital status, veteran status, or disability status.

** To all recruitment agencies: Diebold Nixdorf does not accept agency resumes. Please do not forward resumes to our jobs alias, Diebold Nixdorf employees or any other organization location. Diebold Nixdorf is not responsible for any fees related to unsolicited resumes**

We are a global Company operating in multiple Locations and Entities. As we are keen to find the best solution for our candidates several legal entities might be applicable for a Job offer. A List of our operating entities can be found here - https://www.dieboldnixdorf.com/en-us/about-us/global-locations

Responsible for

• End‑to‑End AI Solution Development: Architect, implement, and optimize AI/ML models for NLP, computer vision, predictive analytics, generative AI, and agentic AI workflows.
• Build robust, scalable pipelines for data ingestion, model training, evaluation, and inference, following best practices in MLOps and AI lifecycle management.
• Deploy models to production environments (cloud/on-prem), ensure performance, reliability, security and compliance.
• Mentor junior engineers, review code, and contribute to architectural decisions.
• Work closely with product managers, data scientists, and DevOps teams to integrate AI into business applications.
• Stay updated with emerging AI technologies and frameworks; evaluate and implement new approaches.
• Ensures timely delivery and excellent quality of the deliverables for the product
• Working on low latency high performance systems
• Able to work in agile software development environment
• Acts as subject matter expert for the domain, processes, methodology and able to adapt latest technologies, frameworks and tools quickly

Required Qualifications

• 4.5–8 years of experience in software engineering, with at least 4+ years focused on AI/ML development, including hands‑on exposure to generative AI, LLM-based systems, and agentic AI architectures.

  
  

• Full‑time Bachelor’s and/or Master’s degree in Engineering with a minimum of 60% grade.

  
  

• Strong programming proficiency in Python, with experience developing production-grade AI/ML and GenAI applications.

  
  

• ML Frameworks: Hands‑on experience with TensorFlow, PyTorch, scikit‑learn, Keras, along with experience in LLM/GenAI and agentic AI frameworks such as Hugging Face Transformers, LangChain, or LangGraph/CrewAI/Autogen.

  
  

• Proficiency in Machine Learning, Deep Learning, Natural Language Processing, Generative AI, and Agentic AI concepts such as tool‑use, multi‑agent orchestration, and reasoning workflows.

  
  

• Experience developing, fine‑tuning, optimizing, and deploying AI/ML, LLM, and agentic AI models across cloud or on‑prem environments.

  
  

• Knowledge of data processing, feature engineering, and visualization tools (e.g., Pandas, NumPy, SQL).

  
  

• Ability to work effectively in global, cross‑functional teams and manage multiple concurrent deliverables.

  
  

• Demonstrated experience across the end‑to‑end product development lifecycle: design, implementation, testing, debugging, deployment, and maintenance of AI systems.

  
  

• Strong problem‑solving skills, analytical thinking, and the ability to innovate and adopt new AI, GenAI, and agentic AI technologies.

  
  

  Preferred Qualifications

  
  
• Experience in delivering scalable, high‑performance AI services and applications with excellent quality across cloud or on‑prem environments.
• Experience with Large Language Models (LLMs), prompt engineering, retrieval‑augmented generation (RAG), and developing agentic AI workflows using frameworks such as LangChain, LangGraph/Crew AI/AutoGen.
• Familiarity with computer vision, NLP, generative AI frameworks, and multimodal model development.
• Exposure to MLOps tools and optimization technologies such as MLflow, Triton, ONNX, TensorRT, model quantization, GPU acceleration, or distributed inference.
• Familiarity with cloud‑native deployments on AWS, GCP, or Azure, including experience integrating AI/ML and LLM systems into secure enterprise environments.