Backend Software Engineer, GenAI

Clario

Backend Software Engineer in Clario's GenAI department creating AI-powered solutions for biopharmaceutical and healthcare industries. Collaborate with experts and innovate cloud-based applications.

Posted 5/20/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

AWSCloudGoKubernetesPythonPyTorch

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
3+ 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

Comp & perks

We are an equal opportunity employer.
Professional development opportunities.

ATS Keywords

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Hard Skills & Tools

PythonGoAIMLPyTorchAPIsFastAPIKubernetesrelational databasesvector databases

Soft Skills

problem-solvingcommunicationcollaborationmentoringleadershipinnovationcontinuous learningtechnical excellence

Certifications

Bachelor’s degree in Computer ScienceMaster’s degree in Computer ScienceEngineering degree