AI Automation Engineer

We are seeking a skilled AI & Automation Engineer with expertise in Python or Node.js, alongside experience in frameworks like LangChain and no/low-code platforms, to join our team at Yieldy. You will play a key role in designing and deploying intelligent solutions that leverage AI-powered workflows and agent-based systems to optimize our operations and product capabilities.

 

Responsibilities:

  • Design, build, and deploy AI solutions using LangChain and agentic frameworks
  • Develop and maintain automation workflows using no-code/low-code platforms like Make.com, Zapier, Airtable, n8n, Flowise, LangFlow, etc.
  • Create and integrate APIs to connect various tools and systems for seamless workflows
  • Fine-tune and integrate large language models (LLMs) for automation and product features
  • Work with Python or Node.js to build scalable and maintainable backend solutions
  • Collaborate with product and engineering teams to identify opportunities for AI and automation
  • Optimize existing AI workflows for performance, reliability, and scalability
  • Stay up-to-date with the latest advancements in AI tools, frameworks, and automation platforms

 

Requirements:

  • 3+ years of experience in AI, automation, or software development
  • Strong proficiency in Python or Node.js (with backend development experience)
  • Familiarity with LangChain or other agent-based frameworks
  • Experience with no-code/low-code platforms (e.g., Make.com, Zapier, Airtable, n8n, Flowise, LangFlow)
  • Experience with AI code gen tools (e.g., Cursor, Cline, Aider, etc.)
  • Solid understanding of large language models (LLMs) and their applications
  • Knowledge of RESTful APIs and integration methodologies
  • Experience with cloud platforms (AWS, Azure, or GCP) and deploying AI solutions
  • Strong problem-solving skills and ability to work both independently and collaboratively
  • Excellent communication skills for working with cross-functional teams

 

Nice to have:

  • Hands-on experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, Hugging Face)
  • Familiarity with MLOps / AIOps tools and practices
  • Knowledge of containerization (Docker, Kubernetes) and CI/CD pipelines
  • Understanding of NLP tools and techniques (e.g., SpaCy, NLTK)
  • Prior experience with agent-based architectures and multi-agent systems
  • Passion for exploring and leveraging innovative AI and automation technologies

 

Benefits:

  • Competitive salary based on experience
  • Flexible working hours and remote work options
  • Opportunities for professional growth and learning
  • Collaborative and innovative work environment