AI Engineer

🔥 1 minute ago

🍂 Massachusetts – Remote

🍂 Massachusetts – Remote

💵 $190k - $210k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

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eClinical Solutions

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2012

🧬 Biotechnology

💊 Pharmaceuticals

⚕️ Healthcare Insurance

💰 Private Equity Round on 2020-01

Biotechnology • Pharmaceuticals • Healthcare Insurance

eClinical Solutions is a clinical data management company that provides integrated data review and management solutions for the biotech and pharmaceutical industries. Their platform, elluminate, empowers organizations to modernize and automate their clinical data workflows, ensuring efficient data acquisition, management, and analysis. By leveraging advanced analytics and technology-driven approaches, eClinical Solutions helps streamline trial operations and improve productivity, enabling better decision-making in clinical research.

📋 Description

• 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

• 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

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