Note: The job is a remote job and is open to candidates in USA. eClinical Solutions is a global leader in clinical data intelligence, delivering AI-powered platforms for the pharmaceutical industry. The Principal AI Engineer – Automation & AI will design, build, and deploy AI-driven automation solutions, working closely with business leaders to identify use cases and implement production-grade systems.
Responsibilities
- 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
Skills
- 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)
- Experience with: RAG architectures and vector databases, AI evaluation frameworks, guardrails, and monitoring, Workflow automation tools and enterprise integrations
- Experience working in regulated environments (e.g., life sciences, healthcare, financial services)
- Familiarity with clinical data, CDISC standards, or clinical development workflows
- Experience in high-growth or PE-backed SaaS environments
Company Overview
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