Technical Lead
Auxo | Growth Partner
Auxo is hiring a
Tech Lead - AI Full Stack
for an AI-native company transforming how finance and operations teams work through intelligent automation.
You'll take ownership of a new product from
0→1, partnering closely with Product and Engineering leadership to define architecture, build core features, and help shape the future of the platform.
This is a highly hands-on role for a
backend-heavy full stack builder
who enjoys creating products from scratch, mentoring developers, and operating with a high degree of autonomy.
This is
not
an AI Research or Machine Learning role. The ideal candidate is a product-minded engineer who leverages AI as a force multiplier while remaining deeply involved in backend architecture, product development, and technical leadership.
What You'll Do
Architect and build a new AI-native product from 0→1
Design and develop backend services using Python
Build frontend applications using React and TypeScript
Own technical decisions and architecture
Design APIs, services, and scalable data models
Contribute to AI-powered workflows, LLM integrations, and agent-based systems
Partner closely with Product Managers on solution design and discovery
Mentor junior developers and elevate engineering standards
Contribute to shared platform components used across products
Drive software quality, performance, and maintainability
Participate in product discovery and technical planning
Who You Are
7+ years of software engineering experience
Strong recent Python backend experience (Non-negotiable)
React and TypeScript experience
Experience building SaaS products from concept to production
Experience building products from 0→1
Experience owning architecture and technical decisions
Experience building products in startup or high-growth environments
Experience mentoring engineers
Comfortable working with ambiguity and limited direction
Experience with cloud-native applications, APIs, and scalable architectures
Exposure to AI-powered products, LLMs, RAG, or agent frameworks
Comfortable using AI development tools such as Cursor, Claude, or Copilot
Strong ownership mentality and product mindset
#J-18808-Ljbffr
Tech Lead - AI Full Stack
for an AI-native company transforming how finance and operations teams work through intelligent automation.
You'll take ownership of a new product from
0→1, partnering closely with Product and Engineering leadership to define architecture, build core features, and help shape the future of the platform.
This is a highly hands-on role for a
backend-heavy full stack builder
who enjoys creating products from scratch, mentoring developers, and operating with a high degree of autonomy.
This is
not
an AI Research or Machine Learning role. The ideal candidate is a product-minded engineer who leverages AI as a force multiplier while remaining deeply involved in backend architecture, product development, and technical leadership.
What You'll Do
Architect and build a new AI-native product from 0→1
Design and develop backend services using Python
Build frontend applications using React and TypeScript
Own technical decisions and architecture
Design APIs, services, and scalable data models
Contribute to AI-powered workflows, LLM integrations, and agent-based systems
Partner closely with Product Managers on solution design and discovery
Mentor junior developers and elevate engineering standards
Contribute to shared platform components used across products
Drive software quality, performance, and maintainability
Participate in product discovery and technical planning
Who You Are
7+ years of software engineering experience
Strong recent Python backend experience (Non-negotiable)
React and TypeScript experience
Experience building SaaS products from concept to production
Experience building products from 0→1
Experience owning architecture and technical decisions
Experience building products in startup or high-growth environments
Experience mentoring engineers
Comfortable working with ambiguity and limited direction
Experience with cloud-native applications, APIs, and scalable architectures
Exposure to AI-powered products, LLMs, RAG, or agent frameworks
Comfortable using AI development tools such as Cursor, Claude, or Copilot
Strong ownership mentality and product mindset
#J-18808-Ljbffr
Vacancy posted 34 minutes ago
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