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
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