Full-Stack Software Engineer jobs at Nick AI: Build the Future of Autonomous Trading Systems
Nick AI is hiring a Full-Stack Software Engineer to build the interface layer of their agentic operating system. This isn’t your typical CRUD application job. You’ll be creating the customer-facing platform that enables users to design, deploy, and monitor autonomous AI agents across multiple financial markets.
The position is fully remote, which opens opportunities for developers regardless of location. What makes this role particularly interesting is the combination of cutting-edge AI technology with real-world financial applications—you’re building tools that actually execute trades and make decisions autonomously.
What You’ll Actually Be Building
Your primary focus involves creating the control center for financial automation powered by AI agents. Think of it as building the cockpit where users design, launch, and monitor autonomous trading systems.
Frontend Development Responsibilities
You’ll work extensively with Next.js 15, building visual agent creation tools and workflow designers. Users need intuitive interfaces to configure AI models and design agent logic without writing code themselves.
Real-time dashboards form a significant part of your work. You’ll create monitoring systems showing agent performance across crypto markets, prediction markets, and various trading venues. These dashboards need to display execution quality metrics like latency, slippage, and fill quality in ways that users can quickly interpret.
The UX challenge here is substantial. You’re designing interfaces for genuinely complex systems—agent logic, data integrations, conditional workflows—and making them accessible to users who aren’t necessarily engineers. Good design matters enormously when dealing with this level of complexity.
Building marketplace interfaces also falls under your responsibilities. Users need to discover and deploy agent templates created by the community, which requires thoughtful categorization, search functionality, and clear presentation of what each template does.
Backend Integration Work
While this is a full-stack role, you’ll connect frontend experiences to sophisticated backend systems including execution engines, receipts systems, and AI orchestration layers.
Real-time data streaming via WebSockets is crucial for live agent monitoring. Users need to see what their agents are doing as it happens, not minutes later.
You’ll build APIs supporting agent creation, template management, and marketplace functionality. The backend team handles multi-asset execution infrastructure across crypto, prediction markets, and stocks, and your APIs need to integrate smoothly with their systems.
Understanding the Position Requirements
The requirements are substantial, reflecting the complexity and seniority of this role.
Technical Skills Required
You need five or more years of full-stack development experience. This isn’t an entry-level position; they want someone who’s already proven they can build production systems.
Frontend skills must include React, Next.js, TypeScript, Tailwind CSS, and Radix UI. If you’re not already comfortable with this stack, getting up to speed before applying makes sense.
Backend experience with Node.js is required. Go experience is a plus but not mandatory. Database familiarity with PostgreSQL and Redis is expected, along with understanding REST APIs, WebSockets, and real-time data streaming.
Modern software engineering practices matter here—testing, deployment, version control, and all the fundamentals of shipping quality code.
Professional Experience Expectations
They want a proven track record shipping production-grade web applications. Projects you’ve built, systems you’ve maintained, problems you’ve solved—all of that matters.
Experience with fintech, trading platforms, AI/ML products, or crypto is strongly preferred. If you’ve built anything in these spaces, emphasize it heavily. Understanding financial markets or AI applications gives you context that makes you more effective immediately.
Startup comfort is important. Fast-paced environments building cutting-edge infrastructure involve uncertainty, rapid changes, and wearing multiple hats. If you prefer highly structured corporate environments, this probably isn’t the right fit.
What Really Sets Candidates Apart
Beyond technical skills, they’re looking for specific mindsets and interests. Genuine curiosity about AI and LLMs matters. They want someone who’s already experimenting with Claude, ChatGPT, or similar tools, possibly building side projects.
Interest in financial markets—whether crypto, prediction markets, trading strategies, or market microstructure—is valued. Domain knowledge in DeFi protocols, prediction markets like Polymarket or Kalshi, trading bots, or autonomous systems makes you significantly more valuable.
The self-starter mentality is emphasized repeatedly. They don’t want someone who just executes tickets. They want engineers who explore, prototype, propose solutions, and bring ideas to the table.
Being opinionated about UX is explicitly mentioned as valuable. If you think deeply about user interactions with complex systems and have strong views on interface design, that’s what they’re seeking.
How to Submit Your Application
Applications go through Brenxor’s job platform.
Visit the Full-Stack Software Engineer application page where you’ll find detailed information and the application form.
Prepare a portfolio or GitHub profile showcasing your work. For a senior engineering position like this, demonstrating your capabilities through actual code and shipped products matters more than your resume alone.
If you’ve built anything related to AI, trading, crypto, or complex dashboards, make sure it’s prominently featured. Side projects showing genuine interest in the problem space strengthen your application significantly.
Your cover letter should address why you’re interested in autonomous AI agents and financial automation specifically. Generic applications rarely succeed for specialized positions like this.
Important Considerations
Remote work offers flexibility but requires discipline. You’ll be collaborating with distributed teams, so strong communication skills and ability to work independently matter.
The role involves building systems where mistakes have real financial consequences. Autonomous agents executing trades means your code directly impacts user money. That responsibility requires careful engineering and thorough testing.
Startup environments mean equity compensation is likely part of the package, though the job posting doesn’t specify compensation details. Clarify salary, equity, and benefits during the interview process.
Application Timeline
No specific deadline is mentioned, suggesting rolling applications. However, specialized senior engineering positions can fill quickly, especially at companies building innovative products. If you’re qualified and interested, applying promptly makes sense.
Related Opportunities
While exploring engineering roles, consider other positions like Team Member jobs if you’re interested in different types of work environments or career paths.
Common Questions About This Role
Do I need professional experience with AI/ML to apply?
Direct AI/ML development experience isn’t explicitly required, though experience with AI/ML products is strongly preferred. What matters more is genuine curiosity and demonstrated interest. If you’ve experimented with LLMs, built projects using AI APIs, or deeply understand how AI applications work, that shows the mindset they’re seeking. You don’t need to be training models, but understanding how to integrate and apply AI tools effectively is valuable. If your AI knowledge is purely theoretical, consider building a small project using Claude or ChatGPT APIs before applying to demonstrate practical engagement.
Is this role more frontend-focused or backend-focused?
The job description emphasizes frontend work more heavily, particularly building intuitive interfaces for complex systems. However, it’s genuinely full-stack with significant backend integration responsibilities. You’ll be connecting frontends to execution engines, building APIs, and working with real-time data streams. If you strongly prefer one side over the other, this might feel unbalanced. The ideal candidate is comfortable moving between frontend UX challenges and backend infrastructure concerns. During interviews, clarify the typical time split between frontend and backend work to ensure it matches your preferences and strengths.
What if I don’t have fintech or crypto experience?
Fintech, trading, or crypto experience is strongly preferred but not absolutely required. However, lacking this background means you need to compensate with exceptional technical skills and demonstrable interest in learning the domain. If you’ve never engaged with financial markets, start exploring before applying. Try using prediction markets, understand how trading works, or research DeFi protocols. Some baseline familiarity shows you’re genuinely interested rather than just applying to any engineering job. The role involves building tools for financial automation, so understanding what users are trying to accomplish matters significantly for creating effective interfaces.
Final Assessment
Full-Stack Software Engineer positions at Nick AI offer the chance to work on genuinely innovative technology at the intersection of AI and finance. Building autonomous trading systems and agent orchestration platforms isn’t standard web development—it’s specialized, complex, and potentially very impactful.
The role requires substantial experience and specific interests, making it suitable for senior engineers who are genuinely curious about AI applications and financial markets. If you meet the technical requirements and find autonomous AI agents fascinating, this could be an excellent opportunity to work on cutting-edge problems with real-world applications.
