Principal AI Engineer – Automation & AI

🕒 April 10

🍂 Massachusetts – Remote

🍂 Massachusetts – Remote

💵 $160k - $200k / year

⏰ Full Time

🔴 Lead

🤖 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

• Design and deploy agentic AI workflows and automation solutions across enterprise functions including R&D, Engineering, Professional Services, IT, Finance, Sales, and Marketing • Build production-grade systems such as: • Multi-agent workflows • RAG-based applications • Document intelligence and summarization pipelines • Workflow and process automation solutions • Use modern AI tools and frameworks including: • Codex, Claude Code, Gemini, NotebookLM • LangChain, LangGraph, LlamaIndex (or equivalents) • Rapidly prototype, validate, and deploy solutions in weeks, not months • Translate business problems into working AI systems • Design lightweight architectures and iterate quickly • Develop and implement: • Prompt engineering strategies • Orchestration logic • API integrations and data pipelines • Testing, validation, and monitoring frameworks • Partner directly with stakeholders to refine outputs and drive adoption • Deliver continuous output with weekly or bi-weekly releases • Prioritize use cases based on: • ROI and business impact • Technical feasibility • Speed to value • Operate with minimal process and high accountability in a fast-paced environment • Build and maintain reusable assets including: • Prompt templates • Agent design patterns • Integration utilities • Contribute to lightweight standards for: • Security and data handling • Responsible AI practices • Evaluation and performance monitoring • Provide technical guidance to a small team of AI engineers and automation specialists • Lead by example through hands-on contribution • Support the evolution of the AI engineering function as it scales

🎯 Requirements

• Bachelor’s degree in Computer Science, Engineering, Data Science, or a related technical field • 6–10+ years of software engineering experience with recent hands-on work in AI/LLM systems • Proven experience building and deploying: • LLM-powered applications • Agentic workflows • Automation solutions in production environments • Strong hands-on experience with tools such as: • Codex, Claude Code, Gemini, NotebookLM (or similar AI-assisted development tools) • LangChain, LangGraph, LlamaIndex, or equivalent frameworks • Proficiency in: • Python • API development and system integration • Cloud platforms (AWS, Azure, or GCP)

🏖️ Benefits

• Health insurance • Retirement plans • Paid time off • Flexible work arrangements • Professional development