Clario
Transforming Lives by Unlocking Better Evidence | Decentralized clinical trials | Broadest endpoint technology
Python Software Engineer, GenAI
Location
United States
Posted
1 day ago
Salary
Not specified
Bachelor Degree2 yrs expEnglishAWSCloudKubernetesPythonPy TorchGo
Job Description
• 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.
Job Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
- 2+ years of software engineering experience with a strong track record of building cloud solutions (AWS or similar platforms)
- Strong proficiency in Python or other programming languages such as Go
- Experience developing and maintaining APIs in Python using frameworks such as FastAPI
- Hands-on experience deploying and operating backend services in Kubernetes-based environments
- Experience working with relational databases and vector databases
- Experience serving and operationalizing models in cloud environments using technologies such as Amazon SageMaker or Bedrock
- Strong understanding of cloud architectures and DevOps practices (AWS and GitLab CI/CD preferred)
- Proven ability to lead complex technical projects and mentor other engineers
- Excellent problem-solving, communication, and collaboration skills
- Strong commitment to code quality, security, scalability, and performance
- Passion for innovation and staying current with emerging technologies
Benefits
- Health insurance
- Retirement plans
- Paid time off
- Flexible work arrangements
- Professional development