Senior Software Engineer

Senior Product Engineer, AI-Native Applications

Employment Type: Full-time

Focus: Product Engineering, Full-Stack Development, Agentic AI, 0-to-1 Product Development

Tech Stack: Python, JavaScript, React, Go, AWS

About Our Client

Our client is building an AI-native platform that enables businesses to deploy intelligent agents and build new applications on top of its core infrastructure.

The company takes a platform-first approach to product development. Rather than building every product from scratch, its engineering team can quickly launch new applications and capabilities using shared infrastructure.

As AI makes software development faster, our client believes the most valuable engineers are those who know what to build, why it matters, and how to turn an idea into a successful product.

They're looking for entrepreneurial engineers who can take complete ownership of products, from identifying customer problems to building, launching, and improving solutions in production.

About the Role

Our client is hiring a Senior Product Engineer to own the development of AI-native products built on top of its platform.

This is a highly autonomous, full-stack engineering role for someone with exceptional product judgment and a demonstrated track record of building successful products from zero to one.

You'll own backend services, enterprise integrations, customer-facing applications, and the AI agent workflows that power them.

The team operates with minimal product-planning overhead. Engineers are expected to identify opportunities, understand customer problems, make product decisions, and ship solutions without waiting for detailed specifications.

The ideal candidate is a founder, former founder, or entrepreneurial engineer who has already built and launched products that achieved meaningful adoption or commercial success.

What You'll Do

• Own AI-native products end to end, from concept and architecture through launch and production.
• Build backend services, enterprise integrations, and customer-facing applications.
• Develop intuitive product experiences using modern frontend technologies such as React.
• Identify customer problems and independently develop solutions.
• Design and improve AI agent workflows built on frontier models.
• Build evaluation frameworks and feedback loops that improve agent reliability.
• Instrument agent failures and turn real customer scenarios into reproducible tests.
• Work across application development, cloud infrastructure, and AI integrations.
• Use AI coding tools to accelerate development while maintaining strong engineering judgment.
• Partner with the founding team to shape product direction and identify new opportunities.
• Take increasing ownership of the product roadmap by proposing and driving new product ideas.

What We're Looking For

• Strong full-stack software engineering experience with production systems.
• Proficiency in Python, JavaScript/TypeScript, React, Go, or similar technologies.
• Demonstrated experience building and launching products from zero to one.
• Track record of products achieving meaningful customer adoption, revenue, or commercial success.
• Exceptional product sense and ability to make thoughtful UX and UI decisions.
• Ability to own backend architecture, frontend development, integrations, and deployment.
• Experience with cloud infrastructure, preferably AWS, and familiarity with infrastructure as code.
• Understanding of agentic AI systems, frontier models, and modern AI development workflows.
• Experience using AI-native engineering tools such as Claude Code, Cursor, or Cline.
• Ability to take ambiguous problems and independently turn them into shipped products.
• Strong first-principles problem-solving skills.
• High ownership, resourcefulness, and comfort working without extensive planning processes.

Bonus Experience

• Founder or former founder who has built and launched successful products.
• Experience building, scaling, or selling a software business.
• Experience developing customer-facing AI or agentic applications.
• Experience with AI agent evaluations, feedback loops, or model reliability.
• Experience integrating products into enterprise software environments.
• Background in early-stage startups with direct product ownership.
• Experience independently identifying and validating new product opportunities.

What Success Looks Like

First 30 Days

• Understand the platform, product architecture, and customer problems.
• Explore existing capabilities and contribute to product development.
• Develop familiarity with the company's AI-native engineering workflows.

First 60 Days

• Take ownership of meaningful product components.
• Independently design, build, and ship customer-facing functionality.
• Begin identifying product improvements and opportunities.

First 6 Months

• Own products or major product surfaces end to end.
• Proactively identify customer problems and propose new product ideas.
• Drive product direction and execution with minimal oversight.
• Become a trusted product thinker and technical owner.

Why This Opportunity

• Build AI-native products on top of an existing platform rather than starting every project from scratch.
• Own the entire product lifecycle, from idea to customer adoption.
• Work in an environment where engineers are trusted to make product decisions.
• Use frontier AI models and coding tools as a core part of development.
• Help shape the company's product direction rather than simply executing a roadmap.
• Join a team that values successful builders, entrepreneurial judgment, and real-world product outcomes.
• Work on products where strong ideas and fast iteration can create meaningful customer impact.