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AI Engineer

Remote • Posted 5 days ago • Updated 1 hour ago

Full Time

Remote

Fitment

Dice Job Match Score™

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Job Details

Skills

Accounting Software
Artificial Intelligence
Fluency
English
Business Data
Accounting
Finance
Payroll
Billing
Enterprise Resource Planning
Semantics
Python
Continuous Integration
Continuous Delivery
Docker
Kubernetes
Golang
Java
C#
.NET
IT Architecture
LangChain
LlamaIndex
Autogen
Microsoft Certified Professional
Machine Learning Operations (ML Ops)
Management
Collaboration
User Experience

Summary

A leading company in Mexico specializing in accounting software is looking for a highly skilled AI Engineer to join the team.

REQUIREMENTS:

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.

KNOWLEDGE AND SKILLS:

Handling frameworks such as LangChain, LlamaIndex, AutoGen, CrewAI, Semantic Kernel, or similar.
Practical knowledge of MCP and A2A protocols, use of tools, memory management, and conversation status.
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.
Practical knowledge of other languages such as Golang, Java, or C# (.NET), especially in building high-performance components (Nice to Have).

RESPONSABILITIES:

Define, design, and supervise the technical architecture of solutions based on intelligent agents and LLMs, integrating tools such as LangChain, LlamaIndex, AutoGen, CrewAI, or equivalent frameworks.
Implement MCP (Model Context Protocol) and A2A (Agent-to-Agent) architectures to enable multi-agent coordination and autonomous flows within business environments.
Work with the MLOps team and execution environments that enable continuous agent updating and deployment, including memory management, context, and long-term planning.
Collaborate closely with product, UX, data, and backend teams to map business needs to intelligent agent architectures.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: RTX1a8bed
Position Id: 6762cc0f7ea32798c1fa05914ebc0445
Posted 5 days ago

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