AI Engineer – Job Description
PURPOSE AND SCOPE
Design and deliver Generative AI solutions (LLMs, copilots, agents) that enhance automation, knowledge access, and decision-making across the enterprise.
Translate business problems into prompt-driven and retrieval-augmented (RAG) AI applications integrated with enterprise data platforms.
Ensure responsible, secure, and scalable GenAI implementations, including governance, evaluation, and monitoring of model behavior.
PRINCIPAL DUTIES AND RESPONSIBILITIES
Develop and optimize prompt engineering strategies, including prompt templates, chaining, tool use (agents), and grounding techniques (RAG).
Build and deploy LLM-powered applications using enterprise data (structured/unstructured), integrating with APIs, vector databases, and knowledge systems.
Implement evaluation, monitoring, and guardrails for GenAI systems, addressing hallucinations, bias, response quality, and performance in production.
EDUCATION
Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.
Specialized training or certifications in AI/ML, NLP, or Generative AI preferred.
Continuous learning in emerging GenAI frameworks, LLMs, and prompt engineering techniques.
EXPERIENCE AND REQUIRED SKILLS
Hands-on experience designing and deploying Generative AI solutions on AWS and Azure, including services such as Azure OpenAI, AWS Bedrock, and Azure Machine Learning.
Strong expertise in prompt engineering, RAG architectures, embeddings, and vector databases (e.g., Databricks Vector Search, FAISS), with experience grounding LLMs in enterprise data.
Proficiency with Databricks (Spark, Delta Lake) for data preparation and integration with GenAI workflows, along with Azure DevOps and GitHub for CI/CD and GenAI application lifecycle management.
Experience with AI/LLM evaluation frameworks, including prompt/response evaluation, hallucination detection, safety filtering, and benchmark-driven optimization to ensure high-quality and reliable outputs.
Skills Required
- Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or related field
- Hands-on experience designing and deploying Generative AI solutions on AWS and Azure (including Azure OpenAI, AWS Bedrock, Azure Machine Learning)
- Strong expertise in prompt engineering, RAG architectures, embeddings, and vector databases (e.g., Databricks Vector Search, FAISS)
- Proficiency with Databricks (Spark, Delta Lake) for data preparation and GenAI integration
- Experience with Azure DevOps and GitHub for CI/CD and GenAI application lifecycle management
- Experience with AI/LLM evaluation frameworks, hallucination detection, safety filtering, and benchmark-driven optimization
- Specialized training or certifications in AI/ML, NLP, or Generative AI
- Continuous learning in emerging GenAI frameworks, LLMs, and prompt engineering techniques
Fresenius Medical Care Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Fresenius Medical Care and has not been reviewed or approved by Fresenius Medical Care.
-
Leave & Time Off Breadth — PTO is described as ample for 3x12-hour shifts and is complemented by paid caregiver leave, holidays, and sick time. This range of time-off options provides meaningful flexibility for many roles.
-
Healthcare Strength — Medical coverage includes 100% preventive care, office-visit copays, prescription coverage, and disability insurance, while dental covers preventive, basic, and major restorative services up to an annual limit. Vision benefits are also available.
-
Wellbeing & Lifestyle Benefits — Wellness programs feature the Rally app with fitness rewards, virtual therapy, and an Employee Assistance Program with free counseling. Additional offerings like digital physical therapy and expert medical opinions broaden holistic support.
Fresenius Medical Care Insights
What We Do
Fresenius Medical Care is the world’s leading provider of products and services for individuals with renal diseases. We aim to create a future worth living for chronically and critically ill patients – worldwide and every day. Thanks to our decades of experience in dialysis, our innovative research and our value-based care approach, we can help them to enjoy the very best quality of life. Our portfolio encompasses a comprehensive range of high-quality health care products and services as well as various dialysis treatment options for both in-center and home dialysis that are individually tailored to our patients’ needs.
