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 seeking a AI Engineer with a strong track record of building and shipping AI-powered products. You will lead the design and development of scalable AI/ML systems, mentor junior engineers, and work cross-functionally to drive the company's AI strategy. The ideal candidate brings deep expertise in LLMs, MLOps, and production-grade model deployment.

Responsibilities

• Architect and lead end-to-end development of AI/ML systems from research to production.
• Design and implement scalable data pipelines, model training, evaluation, and deployment workflows.
• Drive LLM integration initiatives - including fine-tuning, RAG architectures, and agentic frameworks.
• Define best practices for MLOps: CI/CD for models, monitoring, versioning, and A/B testing.
• Collaborate with product managers, data scientists, and engineers to align AI solutions with business goals.
• Conduct technical reviews, provide mentorship to junior AI engineers, and elevate team engineering standards.
• Evaluate emerging AI tools and frameworks; own proof-of-concepts and technical recommendations.
• Ensure AI systems are robust, fair, explainable, and aligned with responsible AI principles.
• Required Qualifications
• 4-7 years of hands-on experience in AI/ML engineering in a professional setting.
• Bachelor's or Master's degree in Computer Science, AI/ML, Statistics, or a related discipline.
• Deep expertise in Python and modern ML frameworks (PyTorch, TensorFlow, JAX).
• Proven experience with large language models: fine-tuning (LoRA, RLHF), RAG pipelines, and prompt engineering.
• Strong background in NLP, computer vision, or multimodal AI systems.
• Hands-on MLOps experience: model versioning (MLflow, DVC), containerization (Docker, Kubernetes), and cloud deployment (AWS SageMaker, GCP Vertex AI, or Azure ML).
• Ability to write production-quality code with a focus on scalability, observability, and reliability.
• Experience collaborating in Agile/Scrum environments with cross-functional teams.

Requirements

• Experience building agentic AI systems using frameworks such as LangChain, LlamaIndex, or AutoGen.
• Familiarity with vector databases (Pinecone, Weaviate, Chroma) and semantic search.
• Published research, patents, or open-source contributions in the AI/ML space.
• Experience with distributed training (DeepSpeed, FSDP) and GPU cluster management.
• Knowledge of AI safety, alignment, and responsible AI frameworks.
• Should have good understanding for Java programming language.
• PHYSICAL DEMANDS:

Benefits

Your Match

How well this role fits your profile.

Company Intel

What employees say

Worked at corrohealth? Share your experience