Junior AI Engineer

Support AI model development, work on data preprocessing pipelines, and contribute to our medical AI research under senior guidance.

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Join our growing team of talented individuals

Everything you need to know about this role at Blood
Flow

About Blood
Flow

At Blood
Flow, we're building an AI platform that interprets blood test results in their full clinical context — helping doctors make faster, safer, and more informed decisions.

We combine LLMs, RAG pipelines, and medical best practices to transform raw lab data into structured, actionable insights. Our solution is already being used by clinics and hospitals, and we're preparing for our first regulatory certifications and CE marking as a Class IIa medical device.

Role Summary

As Junior AI Engineer, you'll support our AI development team in building and improving our medical AI models. You'll work on data preprocessing, model training, and evaluation under the guidance of senior engineers and researchers.

This is an entry-level AI role perfect for someone starting their career in AI/ML who wants to make a meaningful impact in healthcare.

Responsibilities

• Assist in training and
  - tuning AI models for medical data analysis
• Implement data preprocessing and feature engineering pipelines
• Support model evaluation and performance testing
• Help maintain and improve existing AI systems
• Work with medical datasets and clinical annotations
• Support A/B testing and model comparison experiments
• Help with data quality assessment and validation
• Contribute to research experiments and
  -
  - concepts
• Use ML frameworks like Py
  Torch, Tensor
  Flow, and Hugging Face
• Work with vector databases and embedding models
• Support deployment and monitoring of AI models
• Learn about MLOps tools and practices

What We're Looking For

• Bachelor's or Master's degree in Computer Science, AI/ML, or related field
• Basic experience with machine learning and Python programming
• Familiarity with ML frameworks (Py
  Torch, Tensor
  Flow, or
  - learn)
• Understanding of fundamental ML concepts and algorithms
• Strong
  - solving skills and eagerness to learn
• Good communication skills and ability to work in a team
• Experience with natural language processing or large language models
• Knowledge of medical terminology or healthcare domain
• Experience with cloud platforms (AWS, GCP, Azure)
• Familiarity with version control (Git) and software development practices
• Previous internship or project experience in AI/ML

What We Offer

Competitive compensation and benefits package

Launch your AI career in healthcare with mentorship from senior engineers

Work on
- edge medical AI technology

Learn from
- class AI researchers and engineers

Competitive salary with equity participation

Professional development and training opportunities