The Applied AI Engineer Consultant role at Bitovi requires strong expertise in building production-ready intelligent automation and agentic AI solutions for enterprise clients. Candidates must have a solid working knowledge of TypeScript or Python, with practical experience using LangChain and multiple AI models across various content modalities. Proficiency in advanced retrieval-augmented generation (RAG) techniques and vector databases is essential, alongside the ability to utilize advanced model features such as tool calling. The role emphasizes developing enterprise-level automation tools and workflow automation platforms like n8n or Rivet, often working directly with clients and stakeholders to deliver scalable, maintainable, and well-documented AI applications. Ideal candidates are autonomous, motivated continuous learners who excel at solving complex problems and collaborating within teams. Additional desirable skills include experience with cloud deployment and management technologies such as AWS, Docker, and Kubernetes, as well as deep familiarity with CI/CD pipelines using tools like GitHub Actions, TravisCI, or CodeBuild. Knowledge of observability practices involving logging, metrics, and tracing, along with automated testing methodologies (unit, integration, performance testing, benchmarking), is advantageous. Experience in fine-tuning or building custom AI models, deploying open-source models to production, and designing feedback systems for reinforcement learning further strengthens candidacy. The position requires a bachelor’s degree and independent professional experience, with a preference for nearshore candidates overlapping Eastern Time Zone hours. Strong communication and consultancy skills are critical to guide clients in making informed decisions about AI implementations.