Software Engineer, Generative AI Engineering

1 hour, 13 minutes ago
Full-time
Senior
Software Development
MORO TECH

MORO TECH

MORO TECH accelerates mobility business journeys with human-centered solutions and tech expertise, guiding clients towards the Smart Mobility Ecosystem.

Road & Rail
51-250
Founded 2017

Description

  • Lead 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 RBAC and user token forwarding.
  • Design prompting strategies and agent tool-chains that produce reliable, structured outputs for enterprise tasks.
  • Develop proof-of-concept AI agents and tools on the company’s Platform as a Service architecture.
  • Build and deploy core PaaS services, including agent registration, message routing, permission checks, and a centralized management API.
  • Own the platform and ensure safe, automated, and efficient delivery of new features and infrastructure changes.
  • Translate ambiguous enterprise challenges into functional proofs of concept for the Automotive ecosystem.
  • Collaborate across teams to support platform evolution and long-term product direction.

Requirements

  • 1+ year of experience designing and building LLM-powered agents and multi-step agentic workflows.
  • Understanding of security principles in distributed systems, especially Role-Based Access Control (RBAC) in an enterprise context.
  • Ability to design prompts that reliably produce structured JSON or other structured data formats from LLMs.
  • 4+ years of professional software engineering experience.
  • Strong proficiency in Python and hands-on experience building AI-native tools and applications.
  • Experience working in large-scale enterprise environments.
  • Experience developing for Platform as a Service (PaaS) models.
  • Experience with Google’s Agent-to-Agent (A2A) protocol or similar inter-agent communication standards is preferred.
  • Experience with context engineering using MCP servers, knowledge bases, and tool registries is preferred.
  • Experience architecting systems that integrate with multiple enterprise identity and access management tools is preferred.
  • Familiarity with building applications that interface with enterprise search technologies is preferred.
  • Experience building stateful, real-time messaging applications using Redis, Kafka, WebSockets, or Server-Sent Events is preferred.
  • Published research or open-source contributions in AI agents or multi-agent systems is preferred.
  • Hands-on experience securing applications and data in multi-tenant or cross-organizational environments is preferred.

Benefits

  • Competitive compensation and benefits package.
  • Remote-first work environment.
  • Flexible work hours.
  • Opportunity to shape the culture of a rapidly growing global technology company.
  • Exposure to international teams and cutting-edge technologies.
  • Professional development and growth opportunities.
  • Collaborative and inclusive team environment.
  • Long-term global growth potential.

Interested in this position?

Apply directly on the company website

Apply Now

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