Description Are you passionate about building AI-powered systems that automate and orchestrate complex workflows? Our team is seeking a Workflow Engineer with a focus on AI & LLM Platforms to design, implement, and scale cutting-edge solutions for next-generation agentic and data-driven applications.
Key Responsibilities:- Architect and implement workflow solutions integrating Large Language Models (LLMs) and machine learning components.
- Build and optimize AI-powered, agentic workflow patterns for real-world business processes.
- Develop robust orchestration logic using Python or Node.js.
- Collaborate with AI engineers and data scientists to design and integrate agentic systems and applied data science solutions.
- Implement Retrieval Augmented Generation (RAG) pipelines to enhance LLM- and data-driven applications.
- Automate and monitor machine learning workflows, ensuring performance, reliability, and scalability.
- Support deployment and lifecycle management of production AI/ML workflows on modern platforms.
- Document best practices and promote knowledge sharing related to workflow automation and AI/LLM system integration.
Requirements Requirements:- Experience in workflow engineering or a similar automation-focused engineering role.
- Strong programming skills in Python or Node.js.
- Solid understanding of machine learning principles and experience implementing ML workflows.
- Practical experience with orchestration tools and workflow engines.
- Knowledge of LLMs, generative AI pipelines, and agentic system design.
- Familiarity with agentic workflow patterns and RAG (Retrieval Augmented Generation) implementation.
- Exposure to applied data science methods and AI automation techniques.
- Collaborative mindset with excellent problem-solving and communication skills.
- Bachelor's degree in Computer Science, Data Science, Engineering, or a related field (or equivalent practical experience).
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