Junior AI - Engineer

About the role

Our purpose is to help clients exceed their financial health goals. Across the reimbursement cycle, our scalable solutions and clinical expertise help solve programmatic needs. Enabling our teams with leading technology allows analytics to guide our solutions and keeps us accountable achieving goals. We build long-term careers by investing in YOU. We seek to create an environment that cultivates your professional development and personal growth, as we believe your success is our success. ESSENTIAL DUTIES AND RESPONSIBILITIES: Note: The essential duties and responsibilities below are intended to describe the general duties and responsibilities of this position and are not intended to be an exhaustive statement of duties. This position may perform all or most of the primary duties listed below. Specific tasks, responsibilities or competencies may be documented in the Team Member's performance objectives as outlined by the Team Member's immediate Leadership Team Member. We are looking for a curious and motivated Junior AI Engineer (0-2 years Exp) to join our growing AI team. This is a great opportunity for candidates who are passionate about machine learning, large language models, and building real-world AI-powered products. You will work closely with senior engineers and researchers to design, develop, and deploy AI solutions.

Responsibilities

• Integrate AI/ML models into applications via REST APIs and microservices.
• Collaborate with product and engineering teams to translate requirements into AI solutions.
• Fine-tune and experiment with pre-trained LLMs (e.g., GPT, Claude, LLaMA) for specific use cases.
• Write clean, maintainable Python/Java code following engineering best practices.
• Participate in code reviews, sprint planning, and team standups.
• Monitor model performance and assist with debugging and improvement iterations.
• Required Qualifications
• Bachelor's or Master's degree in Computer Science, Data Science, AI/ML, or a related field.
• Hands-on experience with LLM APIs (OpenAI, Anthropic, Hugging Face)
• Knowledge of prompt engineering techniques.
• Strong fundamentals in machine learning: supervised, unsupervised, and reinforcement learning.
• Proficiency in Python and familiarity with ML libraries such as PyTorch, TensorFlow, or scikit-learn.
• Basic understanding of NLP concepts, transformers, and embeddings.
• Experience with data manipulation tools (NumPy, Pandas, SQL).
• Familiarity with REST APIs and version control (Git).
• Strong problem-solving skills and eagerness to learn.

Requirements

• Exposure to cloud platforms (AWS, GCP, or Azure).
• Familiarity with MLflow, Weights & Biases, or similar experiment tracking tools.
• Personal projects, GitHub contributions, or Kaggle competition experience.
• PHYSICAL DEMANDS:

Benefits

Your Match

How well this role fits your profile.

Company Intel

What employees say

Worked at corrohealth? Share your experience