Principal AI Engineer Evinova

WHY JOIN US

Evinova is a health-tech business focused on accelerating better health outcomes by advancing digital transformation across the life sciences sector. By combining science-based expertise evidence-led rigor and deep human insight we design digital solutions that enable healthcare to work better for everyone.

Operating at the intersection of healthcare technology data and analytics we are helping unlock the full potential of digital health transforming how clinical research is conducted how care is delivered and how patients experience healthcare. Our solutions are built to scale driving efficiency improving decision-making and ultimately delivering better outcomes for patients worldwide.

At Evinova we are driven by a shared purpose to transform health through data and digital innovation. Our teams collaborate across disciplines to solve complex challenges continuously learning and evolving in a fast-paced high-impact environment.

We also recognize the importance of flexibility and balance. Our ways of working support both individual needs and team collaboration. To foster connection and collaboration employees are expected to work from the office three days per week creating opportunities for in-person teamwork innovation and meaningful connection.

Introduction to Role:

As Principal AI Engineer youll design and implement sophisticated agentic AI systems that power next-generation life sciences solutions. Working at the intersection of AI research and real-world healthcare applications youll build intelligent agents that can reason plan and act autonomously to solve complex clinical challenges.

What makes this role compelling:

• Lead challenging projects in agentic AI LLM orchestration and multi-agent systems

• Build AI agents that directly impact clinical trials drug discovery and ultimately patient care

• Collaborate with product teams clinical experts and ML engineers in a fast-paced environment

• Develop automated evaluation systems prompt optimization techniques and advanced agent architectures

• Contribute to the AI in life sciences community through publications conferences and open-source work

Example impactful projects include:Intelligent AI agents for clinical document generation advanced search systems for medical research clinical trial optimization tools synthetic patient data generation and multi-modal healthcare AI assistants.

Accountabilities:

• Design Advanced AI Systems

  • Build and deploy sophisticated agentic AI solutions using state-of-the-art LLMs

  • Develop novel approaches to agent memory tool use and multi-agent collaboration

  • Build sophisticated NLP systems for retrieval information extraction structured generation graph reasoning.
    

• Drive Technical Innovation

  • Create automated techniques for agent design evaluation and optimization

  • Systematically discover and validate effective prompt engineering approaches for agentic systems

  • Build specialized observability pipelines for continuous model and agent performance monitoring
    

• Lead Cross-Functional Collaboration

  • Partner with product design and clinical teams to translate AI capabilities into impactful healthcare solutions

  • Mentor engineers and contribute to AI strategy across the organization
    

• Contribute to the Field

  • Share expertise at conferences and through technical publications

  • Contribute to open-source projects and help advance best practices in healthcare AI

Essential Skills/Experience:

• Masters Degree in a relevant field (such as mathematics computer science data science).

• 4 years of industry experience in applied machine learning with a strong focus on deep learning NLP and generative AI.

• Extensive prior experience exploring and testing language model behavior prompting and building products with language models.

• Expert knowledge of Python and advanced ML/LLM frameworks (e.g. TensorFlow PyTorch Google ADK Crewai LangChain LlamaIndex)

• Extensive experience with AWS services (e.g. SageMaker Bedrock MSK EKS ECS OpenSearch).

• Deep understanding of agentic AI systems and frameworks (e.g. agentic design patterns multi-agent systems reinforcement learning).

• Excellent communication skills with the ability to articulate complex technical concepts to both technical and non-technical audiences

Desirable Skills/Experience:

• Ph.D. in a relevant field (such as mathematics computer science data science).

• Demonstrated technical leadership experience including successful delivery of large-scale AI projects.

• Experience developing complex agentic systems using LLMs.

• Experience with low-level languages used for implementing high-performance ML code (C/C Rust CUDA etc.)

• Contributions to open-source AI projects or development of proprietary AI frameworks.

• Expertise in areas such as few-shot learning meta-learning explainable AI.

• Experience with AI ethics responsible AI practices and navigating regulatory landscapes for AI deployment in the life science industry.

SO WHATS NEXT

To be considered for this exciting opportunity please complete the full application on our website at your earliest convenience it is the only way that our Recruiter and Hiring Manager can know that you feel well qualified for this opportunity. If you know someone who would be a great fit please share this posting with them.

Where can I find out more

• Explore what were building:
• Stay connected and see our impact in action: today to bring smarter faster clinical trials to life!

  Evinova is an equal opportunity employer that is committed to diversity and inclusion and providing a workplace that is free from discrimination. Evinova is committed to accommodating persons with disabilities. Such accommodation is available on request in respect of all aspects of the recruitment assessment and selection process and may be requested by emailing.

  #LI-Hybrid

  The annual base pay for this position ranges from $144648.80 - $189851.55 pay offered may vary depending on multiple individualized factors including market location job-related knowledge skills and experience.

  In addition our positions offer a short-term incentive bonus opportunity; eligibility to participate in our equity-based long-term incentive program. Benefits offered included a qualified retirement program 401(k) plan; paid vacation and holidays; paid leaves; and health benefits including medical prescription drug dental and vision coverage in accordance with the terms and conditions of the applicable plans.

  Additional details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired employee will be in an at-will position and the Company reserves the right to modify base pay(as well as any other discretionary payment or compensation program) at any time including for reasons related to individual performance Company or individual department/team performance and market factors.

  Date Posted

  12-May-2026

  Closing Date

  04-Jun-2026

  Our mission is to build an inclusive environment where equal employment opportunities are available to all applicants and furtherance of that mission we welcome and consider applications from all qualified candidates regardless of their protected characteristics. If you have a disability or special need that requires accommodation please complete the corresponding section in the application form.