AI Engineer
Job Description
A leading Mexican accounting software company is seeking a Senior AI Engineer to join their team in a remote capacity. This role combines cutting-edge AI development with practical business applications, focusing on implementing autonomous agents and co-pilots. The ideal candidate will have 5 years of AI project experience and deep expertise in modern AI frameworks like LangChain and LlamaIndex.
The position requires strong technical skills in Python, MLOps, and AI architecture, with experience in vector stores and RAG architectures. You'll be working with business data in accounting, finance, and ERP domains, making this an excellent opportunity for someone interested in applying AI to real-world business problems.
As the AI Engineer, you'll be responsible for designing and implementing intelligent agent solutions, coordinating multi-agent systems, and ensuring smooth deployment and maintenance of AI systems. You'll work closely with cross-functional teams, including product, UX, data, and backend, to translate business requirements into effective AI solutions.
The role offers the flexibility of remote work while being part of a company that's pushing the boundaries of AI application in business software. This is an excellent opportunity for an experienced AI engineer who wants to make a significant impact in the field of business automation and intelligent systems.
Key technologies include Python, FastAPI, Docker, Kubernetes, and various AI frameworks. The position requires fluent technical English and offers the chance to work with cutting-edge AI technologies while solving real business challenges. If you're passionate about AI and want to shape the future of business software, this role provides the perfect platform to apply your expertise and grow your career.
Responsibilities For AI Engineer
- Define, design, and supervise the technical architecture of solutions based on intelligent agents and LLMs
- Implement MCP and A2A architectures to enable multi-agent coordination and autonomous flows
- Work with the MLOps team and execution environments for continuous agent updating and deployment
- Collaborate with product, UX, data, and backend teams to map business needs to intelligent agent architectures
Requirements For AI Engineer
- 5 years of experience in artificial intelligence projects and 2 years in the implementation of autonomous agents or co-pilots
- Fluent technical English
- Experience working with business data in domains such as accounting, finance, payroll, billing, or ERP
- Experience working with vector stores (Chroma, Weaviate, Pinecone) and RAG architectures
- Handling frameworks such as LangChain, LlamaIndex, AutoGen, CrewAI, Semantic Kernel, or similar
- Practical knowledge of MCP and A2A protocols
- Solid command of Python and experience with FastAPI, asyncio, Pydantic, and asynchronous architectures
- Knowledge of MLOps: CI/CD, Docker, Kubernetes, agent monitoring, and automated retraining
