AI Engineer

eClinical Solutions

Principal AI Engineer responsible for the design and implementation of AI solutions for clinical data in healthcare software. Collaborating on projects that enhance clinical trials through the company's platforms.

Posted 7/7/2026full-timeRemote • Massachusetts • 🇺🇸 United StatesMid-LevelSenior💰 $190,000 - $210,000 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformPythonPyTorchScikit-Learn

About the role

Key responsibilities & impact

Actively works with product and engineering to design and build breakthrough AI-powered and agentic capabilities for our clients using LLMs, agentic workflows, and modern DL/ML techniques
Design, prototype, develop, and test LLM-powered applications, agentic workflows, and predictive models using Python and modern AI frameworks to power critical product capabilities
Work with both structured and unstructured clinical trial data, including patient reports, trial documentation, and free text notes
Ideate, design, prototype, and develop solutions such as multi-agent workflows, RAG-based applications, document intelligence and summarization pipelines, and intelligent process automation
Design, prototype, and develop solutions using modern AI frameworks and libraries such as LangChain, LangGraph, LlamaIndex, PyTorch, Hugging Face Transformers, and scikit-learn
Champion AI-driven development practices across the team — using AI coding assistants and agentic dev tools to accelerate prototyping, code generation, testing, and review
Build and maintain LLM, agentic, and ML pipelines, including prompt engineering, orchestration logic, and evaluation harnesses
Apply relevant evaluation frameworks, guardrails, and statistical measures for performance, quality, and error analysis of AI systems
Drive the entire workflow of multiple AI engineering projects
Enhance the experience and efficiency of our elluminate software platform users
Work with our Engineering team to integrate AI capabilities into our elluminate software platform
Work with the MLOps/AIOps team to deploy LLM, agentic, and ML systems in production and to track performance, cost, and quality
Consult with and assist our software development and biometrics teams to consume the results of these AI systems
Ensure data quality throughout all stages of acquisition and processing
Serve as Subject Matter Expert in Generative AI, agentic systems, and applied Machine Learning
Keep up to date with the latest research and tooling in LLMs, agentic AI, and ML
Educate other team members in modern AI techniques and best practices
Publish and present work and contribute to company’s intellectual property

Requirements

What you’ll need

Bachelor’s Degree in Computer Science, Engineering, Math, Physics, or a related field; Master’s or Doctorate degree preferred
Accomplished engineer with deep technical credibility and hands-on implementation skills building LLM-powered applications, agentic workflows, and production AI systems; familiarity with modern Deep Learning and Machine Learning techniques (transformers, RAG, fine-tuning, evaluation)
Extensive experience shipping production software in a healthcare or life-sciences setting; comfortable working alongside clinicians and domain experts
In-depth knowledge and experience working with healthcare and/or clinical trials data
Expert knowledge of Python and modern AI frameworks (LangChain, LangGraph, LlamaIndex, or equivalents); proficiency with API development, system integration, and at least one major cloud platform (AWS, Azure, or GCP)

Benefits

Comp & perks

Health insurance
401(k) matching
Paid time off
Remote work options

ATS Keywords

✓ Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

Deep LearningMachine LearningTransformersRAGFine-TuningEvaluationAPI DevelopmentSystem IntegrationPrompt EngineeringStatistical Measures

Soft Skills

CollaborationCommunicationMentoring