Senior Software Engineer, GenAI

Clario

1d•Hybrid

About The Position

Join Clario as a Software Engineer, Generative AI (GenAI) and help build the next generation of AI‑powered solutions for the biopharmaceutical and healthcare industries. In this role, you will design, develop, and deploy advanced agentic and multi‑modal AI systems that drive innovation, improve clinical outcomes, and set new benchmarks for the industry. This is an opportunity to work at the forefront of generative AI alongside world‑class experts in a collaborative, mission‑driven environment. What We Offer Competitive compensation Medical, dental, and vision insurance starting Day 1 Attractive PTO plan Remote and hybrid work options Engaging employee programs What You’ll Be Doing Design, develop, and deploy robust AI-powered applications, with a focus on agentic and multi-modal AI systems. Architect scalable, production-grade software solutions using modern programming languages (Python preferred) and AI/ML frameworks (e.g., PyTorch). Lead the end-to-end development lifecycle: from ideation and prototyping to deployment and monitoring in cloud environments (AWS preferred). Collaborate closely with AI researchers, scientists, software developers, and product managers to translate business needs into technical solutions. Build and optimize data pipelines for training, evaluating, and serving AI models. Implement best practices for code quality, testing, CI/CD, and DevOps within the GenAI team. Mentor and guide junior engineers, fostering a culture of technical excellence, innovation, and continuous learning. Stay current with advancements in AI, agentic systems, cloud engineering, and drive their adoption within the team. Contribute to strategic planning, technical roadmaps, and cross-functional initiatives that align with organizational goals. What We’re Looking For Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field 5+ years of experience in software engineering, with a strong track record of building and deploying AI/ML solutions Deep proficiency in Python and experience with modern AI/ML frameworks (e.g., PyTorch, TensorFlow) Interest or experience with agentic AI, retrieval augmented generation, vector databases, and LlamaIndex Strong proficiency developing and maintaining APIs in Python (FastAPI) Hands-on experience with deploying and operationalizing backend services in a Kubernetes-based environment. Hands-on experience with model serving in cloud environments, with technologies such as Amazon Sagemaker and Bedrock Strong understanding of cloud-based architectures and DevOps practices (AWS and GitLab CI/CD experience preferred) Proven ability to lead complex technical projects and mentor other engineers Excellent problem-solving, communication, and collaboration skills Commitment to code quality, security, scalability, and performance Passion for innovation and staying at the cutting edge of AI technology We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. The duties and responsibilities listed in this job description represent the major responsibilities of the position. Other duties and responsibilities may be assigned, as required. Clario reserves the right to amend or change this job description to meet the needs of Clario. This job description and any attachments do not constitute or represent a contract. The Department Head has the discretion to hire personnel with a combination of experience and education, which may vary from the above listed qualifications. Clario Privacy Policy Clario is a leading provider of endpoint data solutions to the clinical trials industry, generating high-quality clinical evidence for life sciences companies. We offer comprehensive evidence generation solutions that combine medical imaging, eCOA, precision motion, cardiac solutions and respiratory endpoints. For more than 50 years, Clario has delivered deep scientific expertise and broad endpoint technologies to help transform lives around the world. Our endpoint data solutions have supported over 30,000 clinical trials in more than 100 countries. Our global team of science, technology, and operational experts have supported over 70% of all FDA drug approvals since 2015.

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
5+ years of experience in software engineering, with a strong track record of building and deploying AI/ML solutions
Deep proficiency in Python and experience with modern AI/ML frameworks (e.g., PyTorch, TensorFlow)
Interest or experience with agentic AI, retrieval augmented generation, vector databases, and LlamaIndex
Strong proficiency developing and maintaining APIs in Python (FastAPI)
Hands-on experience with deploying and operationalizing backend services in a Kubernetes-based environment.
Hands-on experience with model serving in cloud environments, with technologies such as Amazon Sagemaker and Bedrock
Strong understanding of cloud-based architectures and DevOps practices (AWS and GitLab CI/CD experience preferred)
Proven ability to lead complex technical projects and mentor other engineers
Excellent problem-solving, communication, and collaboration skills
Commitment to code quality, security, scalability, and performance
Passion for innovation and staying at the cutting edge of AI technology

Responsibilities

Design, develop, and deploy robust AI-powered applications, with a focus on agentic and multi-modal AI systems.
Architect scalable, production-grade software solutions using modern programming languages (Python preferred) and AI/ML frameworks (e.g., PyTorch).
Lead the end-to-end development lifecycle: from ideation and prototyping to deployment and monitoring in cloud environments (AWS preferred).
Collaborate closely with AI researchers, scientists, software developers, and product managers to translate business needs into technical solutions.
Build and optimize data pipelines for training, evaluating, and serving AI models.
Implement best practices for code quality, testing, CI/CD, and DevOps within the GenAI team.
Mentor and guide junior engineers, fostering a culture of technical excellence, innovation, and continuous learning.
Stay current with advancements in AI, agentic systems, cloud engineering, and drive their adoption within the team.
Contribute to strategic planning, technical roadmaps, and cross-functional initiatives that align with organizational goals.