AI Engineer SPRING TX

ESR Healthcare; Spring (TX); Hybrid; USD 96,604 - 137,587; Full time

Benefits offered by this job

Competitive salary

Hybrid work model

Referral bonuses

Job summary

A healthcare technology company located in Spring, TX, is seeking an AI Engineer to design and deploy advanced machine learning solutions. The role involves working with large language models and requires a strong background in AI and machine learning. Candidates should possess a relevant undergraduate degree and proven experience in this field. The position offers a hybrid work schedule, providing both on-site and remote opportunities to enhance team collaboration.

Qualifications

• Bachelor's degree in Computer Science, Mathematics, Engineering, or related field required.
• Proven experience as a Machine Learning Engineer or AI Engineer.
• Strong foundation in mathematics, probability, statistics, and algorithms.

Responsibilities

• Design, develop, and train machine learning and deep learning models.
• Build agentic AI systems including multi-step reasoning workflows.
• Lead design and implementation of AI solutions leveraging Microsoft AI.

Skills

Machine Learning

AI Engineering

Python

Deep Learning

Statistical Analysis

Communication Skills

Education

Bachelor's degree in Computer Science, Mathematics, Engineering or related field

Master's or PhD preferred

Tools

PyTorch

TensorFlow

Keras

Azure AI services

Job description

AI Engineer SPRING TX
Up to: $85/Hourly

Refer & Earn $1000 View Referral Details

JOB DESCRIPTION

Client in Houston, TX is seeking an AI Engineer to design, train, and deploy advanced machine learning and generative AI solutions that address complex, real‑world challenges. The role focuses on large language models (LLMs), agentic workflows, and multimodal systems, delivering responsible AI applications at enterprise scale. This is a hybrid position with 3 days onsite and 2 days remote in Houston, TX.

Responsibilities

• Design, develop, and train machine learning and deep learning models for production use
• Build agentic AI systems, including multi‑step reasoning workflows, tool‑using agents, and autonomous or semi‑autonomous processes
• Evaluate, customize, and fine‑tune open‑source and commercial LLMs for domain‑specific use cases
• Develop impactful AI applications that deliver measurable business and operational value
• Design robust ML systems capable of handling multimodal data (text, tabular data, images, documents, etc.)
• Apply advanced statistical analysis and machine learning techniques to large, complex datasets
• Leverage state‑of‑the‑art Generative AI techniques such as Retrieval Augmented Generation (RAG), prompt engineering, embeddings, and model orchestration
• Lead the design and implementation of AI solutions leveraging Microsoft AI and Azure services, and open‑source LLM models (e.g., HuggingFace)
• Collaborate closely with product managers, domain experts, data engineers, and software engineers to define and deliver AI‑driven solutions
• Participate in fast‑paced proof‑of‑concepts (POCs) and pilots to validate solution designs
• Ensure best practices for MLOps, including CI/CD, monitoring, versioning, and lifecycle management

Qualifications

• Bachelor's degree in Computer Science, Mathematics, Engineering, Data Science, or a related field (Master's or PhD preferred)
• Proven experience as a Machine Learning Engineer, AI Engineer, or similar senior‑level role
• Strong foundation in mathematics, probability, statistics, and algorithms
• Demonstrated experience training and deploying machine learning and deep learning models
• Expertise in Python and experience with production‑quality codebases (experience with C#, Java, or similar languages is a plus)
• Hands‑on experience with deep learning frameworks such as PyTorch, TensorFlow, or Keras
• Strong experience working with language foundation models and techniques for adapting them to specific use cases (fine‑tuning, prompt engineering, RAG, evaluation)
• Experience working with both open‑source LLMs (e.g., LLaMA, Mistral, Falcon) and commercial LLM platforms
• Familiarity with CI/CD practices across the model lifecycle
• Solid understanding of software architecture, data structures, and data modeling
• Excellent communication skills with the ability to explain complex technical concepts to diverse audiences
• Strong analytical thinking and problem‑solving skills
• Ability to work effectively in cross‑functional, collaborative teams

Nice to have

• Experience designing, building, and maintaining AI solutions on commercial cloud platforms, especially Microsoft Azure
• Hands‑on experience with Azure AI services, Azure Machine Learning, or similar platforms
• Strong knowledge of MLOps and DevOps tools such as Azure DevOps, GitHub Actions, or GitLab
• Experience with data engineering and end‑to‑end data science workflows
• Familiarity with responsible AI practices, model governance, and risk management
• Experience delivering AI solutions in regulated or mission‑critical environments
• Passion for continuous learning and staying at the forefront of AI and machine learning advancements