Job Senior Software Engineer AI en Remote

Nuna en San Francisco, California, United States

Digital job Senior Software Engineer AI at Nuna

Senior Software Engineer AI

Nuna San Francisco, California, United States

$60,000 - $110,000

Remote Full-time
Development 2-5 años Docker Testing Cloud Software
By Remote Ok
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Job description

YOUR TEAM

As one of the first engineers on the Rewards ML/AI team, you will be crafting an innovative new mobile experience that will redefine the boundaries of health and wellness. Our mission is to improve health outcomes for patients using technology. You will leverage the latest AI advancements to solve real-world health problems. You will gain a profound understanding of the intricacies of the US health system. You'll join a ground floor effort to build products that engage patients in activities that dramatically improve health outcomes. Come join our dynamic team and become a pioneer at the nexus of healthcare, mobile, and AI.

This role is open to remote, but preference is given to candidates located in these areas: San Francisco Bay Area and Seattle Metro Area

YOUR OPPORTUNITIES

  • Collaborate with cross-functional teams including product managers, designers, front-end engineers, and data scientists to conceptualize, develop, and deploy AI-driven features and enhancements for our consumer mobile app
  • Design, architect, and implement scalable backend systems and APIs that support AI-powered functionality, ensuring high performance, reliability, and security
  • Optimize AI algorithms and models for efficiency, accuracy, scalability, and safety, leveraging best practices and emerging technologies in the field
  • Integrate machine learning models, algorithms, and data pipelines into the backend infrastructure to enable intelligent decision-making and personalized user experiences
  • Conduct thorough testing, debugging, and performance tuning of backend systems to identify and address issues and bottlenecks in a timely manner
  • Stay abreast of industry trends, advancements, and emerging technologies in AI, machine learning, and backend development, and evaluate their potential impact on our product roadmap
  • Mentor and provide technical guidance to junior engineers, fostering a culture of innovation, collaboration, and continuous learning within the team

QUALIFICATIONS

Required Qualifications

  • Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field
  • 5+ years of professional experience in software engineering, with a recent focus on backend development and scaling and testing of LLM | RAG | generative AI technologies 
  • Extensive experience in designing, developing, and deploying scalable backend systems and APIs using modern programming languages such as Kotlin, Python, Java, Go or equivalent
  • Proficiency in working with cloud platforms such as AWS, Google Cloud, or Azure, and leveraging cloud-based services for deploying and managing backend infrastructure
  • Strong analytical and problem-solving skills, with the ability to translate business requirements into technical solutions and drive innovation
  • Excellent communication skills and the ability to work effectively in a fast-paced, collaborative environment

Preferred Qualifications

  • Solid understanding of machine learning concepts, algorithms, and techniques
  • Experience with containerization and orchestration technologies such as Docker and Kubernetes
  • Previous experience in the consumer mobile app industry or related domains
  • Contributions to open-source projects or active participation in tech communities and forums

We take into account an individual’s qualifications, skillset, and experience in determining final salary. This role is eligible for health insurance, life insurance, retirement benefits, participation in the company’s equity program, paid time off, including vacation and sick leave. The expected salary range for this position is $162,000 to 198,000. The actual offer will be at the company’s sole discretion and determined by relevant business considerations, including the final candidate’s qualifications, years of experience, and skillset.

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