• Own and deliver complex, cross-team architectural initiatives • Analyze codebase for key architectural pain points and create actionable plans • Define architectural vision and communicate it for significant parts of the codebase • Drive adoption of new technologies for performance and maintainability • Collaborate with product management and customer-facing teams to validate assumptions • Establish coding standards, design patterns, and architectural best practices • Mentor senior and staff engineers while raising the bar on testing and quality engineering • Lead cross-functional efforts to deliver high-impact projects and ensure timely delivery

• Manage end-to-end development, from designing intuitive frontends to building reliable backend services. • Take ownership of the development lifecycle and proactively resolve blockers. • Maintain high standards of code quality and performance in fast-paced environments.

Role Description You'll build features end-to-end — from database schema to React UI — working on a modern JavaScript stack (Node.js backend, React frontend, PostgreSQL). You'll own features from technical design through to production, and your work will be used by thousands of HR professionals daily. - Build full-stack features across React frontend and Node.js backend - Design and implement database schemas and migrations in PostgreSQL - Develop REST API endpoints consumed by the frontend and mobile app - Review PRs and contribute to technical architecture decisions - Debug and resolve issues across the stack Qualifications - Solid JavaScript skills across frontend (React) and backend (Node.js) - Comfortable with SQL databases — you can design schemas and write efficient queries - Experienced with Git and collaborative engineering workflows - Product-minded — you think about user experience, not just code Requirements - Experience with TypeScript (nice to have) - Familiarity with cloud infrastructure (AWS or GCP) (nice to have) - Exposure to GraphQL or REST API design best practices (nice to have) Benefits - $800–$1,300 USD/month based on experience - Fully remote with flexible hours - End-to-end ownership — you see features through from idea to production - Paid leave - Path to Senior or Lead Full-Stack Engineer

Role Description We are looking for a visionary and deeply technical engineer to pioneer the future of multi-agent systems in the Automotive industry. You are an expert in the LLM and AI agent space who is not just content with using existing tools but is driven to invent what comes next. You can take a complex enterprise challenge - like secure, cross-organizational data access - and prototype a robust, agent-based solution. You are an R&D-focused builder who can turn ambiguous ideas into functional proofs-of-concept that will define the Automotive ecosystem's outlook for the years to come. Responsibilities - Spearhead the research and development of advanced multi-agent workflows, chains, and collaborative problem-solving techniques. - Prototype and validate security models for cross-organizational agent interaction, including fine-grained Role-Based Access Control (RBAC) and user token forwarding primitives. - Design and implement novel prompting strategies and agent tool-chains that produce reliable, structured outputs for complex enterprise tasks. - Develop proof-of-concept AI agents and tools on our Platform as a Service (PaaS) architecture. - Develop and deploy the core services of the PaaS, including agent registration, message routing, fine-grained permission checks, and a centralized management API. - Own the platform, ensuring automated, safe, and efficient delivery of new features and infrastructure changes. Qualifications - Proven experience designing and building LLM-powered agents and multi-step agentic workflows for 1 year+. - Understanding of security principles in distributed systems, especially Role-Based Access Control (RBAC) in an enterprise context. - Demonstrated ability to design prompts that yield reliable, structured JSON or other structured data formats from LLMs. - 4+ years of professional software engineering experience, with strong proficiency in Python and hands-on experience coding AI-native tools and applications. - Experience working within large-scale enterprise environments and developing for Platform as a Service (PaaS) models. Nice to Haves - Experience with Google's Agent-to-Agent (A2A) protocol or similar inter-agent communication standards. - Experience with context engineering using technologies such as MCP servers, knowledge bases and tool registries. - Experience architecting and building systems that integrate with multiple enterprise identity and access management tools. - Familiarity with building applications that interface with enterprise search technologies. - Experience building stateful, real-time messaging applications using technologies like Redis, Kafka, WebSockets or Server-Side Events. - Published research or open-source contributions in the field of AI agents or multi-agent systems. - Hands-on experience securing applications and data in a multi-tenant or cross-organizational environment. Benefits - To Shape a Global Culture: Play a pivotal role in defining the people-centric culture of a rapidly growing global technology company from the ground up. - To Make a Global Impact: Work at the exciting intersection of cultures and innovation, directly supporting digital transformation projects for world-renowned clients. - To Accelerate Your Growth: Gain exposure to international teams, cutting-edge technologies, and endless opportunities for professional development. - A Dynamic & Inclusive Team: Join a collaborative environment where new ideas are celebrated, and your contributions truly matter. - Competitive Rewards: We offer a competitive compensation and benefits package in a company poised for long-term global growth. We are a remote-first, flexible work hours company.