Fullstack Engineer, AI Implementation

Oneleet Inc

$90K — $130K *
US-AnywhereRemote in United States
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of fullstack software development experience with Go and JavaScript expertise.
  • Strong background in building production APIs (REST and/or gRPC) and third-party service integration.
  • Experience creating responsive user interfaces with modern JavaScript frameworks, ideally React.
  • Familiarity with data transformation and system format mapping.
  • Understanding of asynchronous programming and API optimization techniques.
  • Skill in gathering user requirements and translating feedback into technical solutions.
  • Strong debugging capabilities for both backend and frontend elements.

Responsibilities

  • Integrate AI service endpoints, managing authentication and error handling.
  • Design systems to gather relevant security data for AI services.
  • Develop intuitive UI components to display AI-generated insights using JavaScript/React.
  • Map AI responses to clear, actionable UI elements.
  • Implement error handling and fallback mechanisms for AI service availability.
  • Create user feedback loops to support ongoing improvements in AI features.
  • Optimize API calls for performance while ensuring data freshness.

Benefits

  • Comprehensive health & wellness benefits.
  • 20 days PTO per year, plus 8 floating holidays.
  • Remote work culture.
  • Team off-sites in scenic locations.
  • Competitive compensation with equity options.
Full Job Description
As a Fullstack Engineer focused on AI Integration at Oneleet, you'll be responsible for bringing our AI capabilities to life within our cybersecurity platform. You'll work across our entire stack to integrate AI endpoints, prepare contextual data, and create intuitive interfaces that make complex AI-powered insights accessible to our users. This is a hands-on engineering role where you'll own the complete integration flow - from gathering the right security context from our platform, calling our AI services effectively, to presenting results in ways that drive real value for security teams. You'll work closely with customers to understand their needs and iterate rapidly based on their feedback. Working primarily in Go, Python and JavaScript, you'll ensure our AI features are fast, reliable, and genuinely useful in day-to-day security operations. Key Responsibilities: - Integrate AI service endpoints into our platform, handling authentication, error states, and response processing - Design and implement context gathering systems that pull relevant security data from across our platform to feed into AI services - Build intuitive UI components in JavaScript/React that present AI-generated insights, recommendations, and automations to users - Map AI service responses to actionable UI elements, ensuring complex outputs are presented clearly and drive user action - Implement robust error handling and fallback behaviors when AI services are unavailable or return unexpected results - Create feedback loops that capture user interactions with AI features to drive continuous improvement - Work directly with customers to understand how they use AI features and rapidly implement UX improvements - Optimize API calls to AI services for performance, implementing caching where appropriate while maintaining data freshness - Build monitoring and analytics to track AI feature usage, success rates, and user engagement - Collaborate with the AI team to communicate platform needs and user feedback that could improve the underlying services - Develop reusable patterns and components for AI integration that can be leveraged across different features - Ensure AI features integrate smoothly with existing platform workflows and don't disrupt current user patterns Qualifications: - 5+ years of fullstack software development experience with expertise in Go and JavaScript - Strong experience building production APIs (REST and/or gRPC) and integrating with third-party services - Proven track record of building responsive, intuitive user interfaces with modern JavaScript frameworks (React preferred) - Experience with data transformation and mapping between different system formats - Strong understanding of asynchronous programming patterns and API optimization techniques - Experience gathering requirements from users and translating feedback into technical improvements - Solid debugging skills across the full stack - from backend services to frontend UI - Experience with production monitoring, logging, and observability tools - Strong communication skills and comfort working directly with customers - Ability to balance technical excellence with shipping features that provide immediate value Bonus Experience: - Previous experience integrating AI/ML services into production applications - Background in cybersecurity or security tools - Experience with real-time data updates and WebSocket implementations - Experience building data visualization components You should apply if any of the following excite you: - Making powerful AI capabilities accessible through thoughtful engineering and design - Working directly with customers to refine features based on real-world usage - Building the integration layer that turns AI potential into practical security solutions - Owning features end-to-end from backend integration to frontend presentation - Creating patterns and systems that will scale as we add more AI capabilities - Being part of bringing AI-powered automation to the cybersecurity industry Perks & Benefits - Comprehensive health & wellness benefits - 20 days PTO per year, plus 8 floating holiday - Remote work culture - Team off-sites in stunning places (Amsterdam, Italy, etc). - Competitive compensation & equity We hire globally and compensate competitively within each market using geographic pay bands. The range for this role reflects a US national baseline. Offers for candidates in higher cost-of-labor markets (e.g., San Francisco, New York, Zurich) may fall at or above the top of the posted range, while offers in other markets are benchmarked to local standards and are lower. Within any range, individual compensation is determined by work location, skills and experience demonstrated through the interview process, and relevant education or training. This posting reflects base salary only and does not include equity or benefits. Remote-First & Global Hiring We're a remote-first company and hire globally in regions where we can legally engage talent directly or via our employer-of-record (EOR) partner. If you're based outside the U.S., we'll explore the most compliant hiring arrangement for your location. We make hiring decisions based on merit, skills, and potential regardless of location.

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