You will make an impact:As a Senior Software Engineer, AI Enabled Platforms will be a member of the elluminate product development team. elluminate is a next generation data integration and analytics cloud platform that enables life sciences organizations to optimize the aggregation, standardization, and analysis of their data throughout the clinical development life cycle. You are primarily responsible for the design and development of core modules for the platform and will be involved in all phases of the software development lifecycle such as reviewing functional specifications, design, development, unit testing, code reviews and release management.
This role is ideal for an experienced engineer who enjoys
hands-on development, mentoring others, and
bringing modern capabilities-including AI-assisted and agentic workflows-into production-grade systems.
Accelerate your skills and career within a fast-growing company while impacting the future of healthcare.
Your day to day: - 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
Take the first step towards your dream career. Here is what we are looking for in this role.
AI & Modern Engineering FocusWe're actively incorporating
AI-powered capabilities into our platform, and you'll help shape how this is done responsibly and effectively in an enterprise environment. This includes:
- 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
Deep ML expertise is
not required-we're looking for strong engineers who understand how to
apply AI capabilities in real products.
What We're Looking For- 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
AI & Platform Experience- 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 Have- 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
Accelerate your skills and career within a fast-growing company while impacting the future of healthcare.
Pay Range
US Pay Ranges
$132,000-$165,000 USD
