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We’re seeking an AI Workflow Engineer to join a newly formed team focused on advancing internal AI and LLM platforms. In this role, you’ll collaborate with technical colleagues across multiple departments, helping design and build agentic workflow systems and business logic orchestration powered by leading AI solutions.
Job Responsibility:
Developing AI-driven workflows and conversational agents that connect with internal and external data sources
Working hands-on with code—even if some tasks use low-code or no-code platforms
Implementing and optimizing solutions for applied data science challenges
Reviewing, improving, and championing future initiatives based on evolving business requirements
Requirements:
Proficiency in programming with Python and/or Node, with a focus on clean design and efficient implementation
Hands-on experience integrating AI systems, including prompt engineering, tool usage, and function calling
Expertise in building AI workflows and working with vector databases for data retrieval and optimization
Familiarity with orchestration tools such as LangGraph, CrewAI, or n8n to streamline workflow development
Experience in developing secure AI tools and servers for seamless integration with APIs and databases
Solid understanding of GraphQL, OAuth authentication, and secure system integration
Knowledge of containerization, Git, and CI/CD practices to ensure reliable deployment of AI services
Practical experience in implementing safety measures, evaluation protocols, and compliance standards for AI solutions
Nice to have:
Experience working with orchestration tools (n8n), integration frameworks, Retrieval-Augmented Generation (RAG), and MCP tools
Familiarity with NVIDIA-backed infrastructure
What we offer:
medical, vision, dental, and life and disability insurance