[Hiring] Software Engineer, Generative AI Engineering @Moro Tech

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.