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Personify Health Logo

Tech Lead Software Engineer-GenAI Enabled Products

Personify Health

$150,000 - $185,000
Sep 20, 2025
Austin, TX, USA • Providence, RI, USA • Minneapolis, MN, USA • Denver, CO, USA
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Personify Health is looking to simplify and personalize the health experience to improve health and reduce costs for companies and their people by building next-generation GenAI-enabled SaaS experiences in the wellbeing space.

Requirements

  • 10+ years professional software engineering experience including leadership or tech lead roles
  • 3+ years hands-on experience building and delivering AI/ML-powered products with proven GenAI feature launches
  • Proficiency in contemporary software engineering practices and distributed architecture patterns
  • Strong coding and architectural skills with ability to balance execution with mentoring and team enablement
  • Experience influencing multiple engineering teams in complex SaaS environment
  • Knowledge of responsible AI considerations in SaaS contexts
  • Strategic thinking combined with technical expertise for building real-world AI products

Responsibilities

  • Drive architecture, design, and development of GenAI-enabled services and features across product development teams while writing, reviewing, and maintaining high-quality production code.
  • Assess AI/LLM platforms, tools, and vendors to ensure alignment with product goals while staying current on GenAI advancements and natural-language interface design.
  • Act as internal thought leader for AI adoption, mentoring engineers on AI/ML integration patterns while leading technical workshops and design reviews.
  • Partner with Product Management to understand business strategy and translate into executable technical solutions while influencing multiple engineering teams toward consistent AI-driven implementations.
  • Integrate relevant GenAI innovations into product features while evangelizing responsible and ethical AI practices within the engineering organization.
  • Collaborate with cross-functional groups to deliver scalable, performant, and responsible AI technologies that meet production standards.
  • Balance hands-on coding of critical components with mentoring engineers and driving AI adoption best practices

Other

  • Partner with Product Management to translate vision into execution while aligning multiple engineering teams
  • Demonstrated passion for mentoring engineers and elevating technical capabilities across teams
  • Ability to serve as cross-team technical influencer while maintaining hands-on development contribution
  • Experience translating business vision into executable technical solutions
  • Commitment to responsible and ethical AI practices in production environments