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Clario

Transforming Lives by Unlocking Better Evidence | Decentralized clinical trials | Broadest endpoint technology

AI Software Engineer

Full-stack EngineerSoftware EngineerOtherRemoteSeniorTeam 5,001-10,000Since 1973H1B SponsorCompany SiteLinkedIn

Location

United States

Posted

111 days ago

Salary

0

Seniority

Senior

Bachelor Degree4 yrs expEnglishAWSKubernetesPythonPyTorchTensorFlow

Job Description

AI Software Engineer

Clario

• 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
  • 4+ 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.

Benefits

  • Flexible working arrangements
  • Professional development opportunities

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