Lead Software Engineer - AI

Nuna · USA

Company

Nuna

Location

USA

Type

Full Time

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

In this role you will:

  • 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

  • 8+ years of professional experience in software engineering with a recent focus on backend development and scaling and testing of Distributed Systems

  • Extensive experience in designing developing and deploying scalable backend systems and APIs using modern programming languages such as Java Kotlin Python  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

  • Experience leading large scale projects and being tech lead for  junior engineers

  • 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 working with AI technologies like LLM | RAG | generative AI

  • 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 $188000 to $230750. 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.

#LI-NP1 #LI-Remote

Apply Now

Date Posted

08/09/2024

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