Job DescriptionAs a Full Stack Engineer, you'll work across every layer of the platform, building backend services that process enterprise data at scale and frontend experiences that make complex intelligence accessible and actionable. You'll develop features using Go, Python, React, and TypeScript, design APIs and data models, and help bring agentic AI capabilities into production. You'll own projects end-to-end, from initial scoping and architecture through implementation, testing, deployment, and iteration.
This is an opportunity to join a lean, high-ownership engineering team tackling challenging problems at the intersection of agentic AI, distributed systems, and enterprise data. You'll collaborate closely with AI/ML engineers, work directly with enterprise customers, and have meaningful influence over product direction and technical decisions. The ideal candidate enjoys working across the full technology stack, has strong product instincts, and is comfortable turning ambiguous problems into production-ready solutions.
The company offers a competitive salary, meaningful equity, benefits, and flexible PTO. This is an opportunity to join an early-stage team where engineers have significant ownership and can see the impact of their work quickly.
Required Skills & Experience - 3+ years of software engineering experience with meaningful experience across both frontend and backend development
- Strong proficiency in TypeScript and React
- Professional experience with at least one backend language, preferably Go or Python
- Experience designing and building APIs, data models, and backend services
- Strong product instincts and ability to consider the end-user experience when making technical decisions
- Ability to take ambiguous requirements and independently turn them into well-executed product features
- Experience with cloud infrastructure, preferably AWS
- Familiarity with modern deployment practices and production software development
- Strong ownership and ability to manage the full software development lifecycle
- Comfortable working in a fast-paced startup environment with broad responsibilities
Desired Skills & Experience - Experience building agentic AI systems, integrating large language models, or developing RAG architectures
- Background in enterprise SaaS, retail technology, or data-intensive products
- Familiarity with data visualization and translating complex datasets into intuitive user experiences
- Experience with real-time systems, streaming architectures, or distributed systems
- Contributions to developer tooling, CI/CD pipelines, or infrastructure automation
- Experience collaborating with AI/ML engineers to bring intelligent features into production
- Previous experience as a technical founder or early-stage engineer
What You Will Be Doing Daily Responsibilities
- Build and ship end-to-end product features across backend services and frontend applications
- Develop backend functionality using Go and/or Python
- Build intuitive frontend interfaces using React and TypeScript
- Design APIs, data models, and service architectures that support the platform's agentic AI capabilities
- Create user experiences that translate complex enterprise data into clear, actionable workflows
- Collaborate with AI/ML engineers to integrate AI-driven capabilities into production systems
- Own the full feature lifecycle, including scoping, architecture, implementation, testing, deployment, and iteration
- Work directly with enterprise customer feedback to understand real-world requirements and shape product development
- Contribute to infrastructure, internal tooling, and developer experience as the engineering organization scales
- Identify opportunities to improve system performance, scalability, and overall platform capabilities
- Collaborate closely with the engineering team to solve challenging technical problems across the platform
The Offer You will receive the following:
- Competitive Salary
- Meaningful Equity
- Company Benefits
- Flexible PTO
- Significant Technical Ownership and Autonomy
- Opportunity to Work on Complex Agentic AI and Enterprise Data Challenges
- Direct Exposure to Enterprise Customers and Product Development
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