Design and supervise technical architectures for intelligent agents and LLMs, implement MCP and A2A multi-agent flows, integrate vector stores and RAG, collaborate with MLOps for continuous deployment, memory and context management, and work with product, UX, data, and backend teams to align solutions with business needs.
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.
Similar Jobs
.jpg)
AdTech • Cloud • Marketing Tech • Productivity • Software • Analytics • Automation
Design, build, and ship production AI systems for Acquia DAM. Architect agentic, stateful multi-agent workflows, own AI observability and RAG architectures, evaluate LLM providers and tooling, mentor engineers, and ensure enterprise-grade security, scalability, and compliance for AI features.
Top Skills:
AWSAzureCi/CdClaudeContainerizationCopilotCrewaiCursorDigital Asset ManagementDrupalEmbedding ModelsGCPHermes AgentLangchainLangfuseLanggraphLlamaindexLlm Fine-TuningOpenclawOpencodeOpenspecPydanticPythonRagTemporalVector Databases
Blockchain • eCommerce • Fintech • Payments • Software • Financial Services • Cryptocurrency
Lead architecture and technical strategy for AI-driven product quality systems using LLMs and agents. Build scalable evaluation frameworks, detect regressions, generate insights, and drive cross-functional adoption while mentoring engineers and defining standards for trustworthy AI.
Top Skills:
AgentsAi InfrastructureEvaluation SystemsLlmsRetrieval Architectures
Marketing Tech • Real Estate • Software • PropTech • SEO
Lead large-scale, cross-functional engineering projects to deliver AI-native SaaS features. Own platform architecture for multi-tenant, cloud-native systems, drive engineering standards and developer tooling, mentor engineers, and operationalize LLMs, agent frameworks, and real-time data in production.
Top Skills:
AnthropicApolloAWSClaude CodeDynamoDBElasticsearchGraphQLKafkaKubernetesLambdaNode.jsPostgresReactRedisSqsTailwind CssTemporalTypescript
What you need to know about the Vancouver Tech Scene
Raincouver, Vancity, The Big Smoke — Vancouver is known by many names, and in recent years, it has gained a reputation as a growing hub for both tech and sustainability. Renowned for its natural beauty, the city has become a magnet for professionals eager to create environmental solutions, and with an emphasis on clean technology, renewable energy and environmental innovation, it's attracted companies across various industries, all working toward a shared goal: advancing clean technology.
