eClinical Solutions
Posted 59 days agoVerified live 9h ago
Senior Software Engineer
Brief overview
Remote
$132k–$165k/yrStated range
3+ yrsMinimum
C#ASP.NET MVCASP.NET Web APIs.NETPythonAngularTypeScriptHTMLCSSSoftware Design PrinciplesSoftware Development LifecycleLLM-based Services IntegrationOpenAIAzure OpenAIAgent-based AI ArchitecturesWorkflow-driven AI ArchitecturesMicrosoft SQL Server
About the company
eClinical Solutionseclinicalsol.com
eClinical Solutions is a data intelligence hub.it transforms the way clinical data integration, aggregation, and analytics. It is a sub-organization of GI Partners.
Job description
Summary
eClinical Solutions is transforming clinical development with their Clinical Data Cloud, elluminate®. They are seeking a Senior Software Engineer to design and develop core modules for their AI-enabled platform, contributing to the software development lifecycle and mentoring other engineers.
Responsibilities
- Design, develop, test, and deploy scalable, secure, and highly interactive web applications
- Own and evolve core platform modules, from concept through release and support
- Influence application and system architecture with a focus on performance, reliability, security, and maintainability
- Lead by example through clean, well-tested code, thoughtful design reviews, and pragmatic technical decisions
- Collaborate closely with Product Management, QA, and other engineers throughout the SDLC
- Provide technical mentorship and guidance to other engineers on the team
- Diagnoses and resolves complex production issues across distributed systems
- Ensure solutions meet eClinical Solutions quality standards and applicable industry regulations
- Contribute to technical documentation including design specs, acceptance criteria, and release notes
- Integrating LLMs and AI services into .NET- and Python-based systems
- Designing and implementing AI-assisted workflows, copilots, or intelligent automation features
- Working with agentic AI patterns (e.g., task orchestration, tool-using agents, workflow automation)
- Applying prompt engineering, evaluation techniques, and guardrails to ensure reliability and compliance
- Collaborating with data and platform teams to operationalize AI—not just prototype it
Skills
- Bachelor's or Master's degree in Computer Science or equivalent practical experience preferred
- Expert-level proficiency in C#, .NET, and ASP.NET (MVC/Web APIs)
- 3-5 years of experience in software design and development using the Microsoft technology stack
- Strong experience building full-stack web applications (Angular, TypeScript, HTML, CSS)
- Solid understanding of software design principles, patterns, and best practices
- Experience across the full Software Development Lifecycle (Agile preferred)
- Proven ability to work independently while collaborating effectively in a fast-paced environment
- Excellent communication, documentation, and technical leadership skills
- Hands-on experience integrating LLM-based services (e.g., OpenAI, Azure OpenAI, or similar) into applications
- Experience using Python and/or .NET alongside AI/LLM workflows
- Familiarity with agent-based or workflow-driven AI architectures is a strong plus
- Understanding of secure and responsible AI usage in enterprise systems
- Strong SQL expertise (Microsoft SQL Server preferred), including performance tuning
- Experience with microservices, distributed systems, and cloud platforms (AWS preferred)
- Secure development experience, including awareness of common vulnerabilities and mitigations
- Experience with clinical trial data, life sciences, or regulated SaaS environments
- Experience building data visualizations or analytics-driven user experiences
Qualifications
Must Haves
- Bachelor's or Master's degree in Computer Science or equivalent practical experience preferred
- Expert-level proficiency in C#, .NET, and ASP.NET (MVC/Web APIs)
- 3-5 years of experience in software design and development using the Microsoft technology stack
- Strong experience building full-stack web applications (Angular, TypeScript, HTML, CSS)
- Solid understanding of software design principles, patterns, and best practices
- Experience across the full Software Development Lifecycle (Agile preferred)
- Proven ability to work independently while collaborating effectively in a fast-paced environment
- Excellent communication, documentation, and technical leadership skills
- Hands-on experience integrating LLM-based services (e.g., OpenAI, Azure OpenAI, or similar) into applications
- Experience using Python and/or .NET alongside AI/LLM workflows
- Familiarity with agent-based or workflow-driven AI architectures is a strong plus
- Understanding of secure and responsible AI usage in enterprise systems
Nice to Haves
- Strong SQL expertise (Microsoft SQL Server preferred), including performance tuning
- Experience with microservices, distributed systems, and cloud platforms (AWS preferred)
- Secure development experience, including awareness of common vulnerabilities and mitigations
- Experience with clinical trial data, life sciences, or regulated SaaS environments
- Experience building data visualizations or analytics-driven user experiences
