Mid-Senior AI Engineer

MetovaRemote — Costa Rica

Remote Full-time

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Experience Level

Mid to Senior

Qualifications

Qualifications Required4-6 years of experience in AI projects, with at least 2+ years in the implementation of autonomous agents or copilots. Proven experience with frameworks such as LangChain, LlamaIndex, AutoGen, CrewAI, Semantic Kernel, or similar. Practical knowledge of MCP and A2A protocols, memory management, and conversation state handling. Strong proficiency in Python and experience with FastAPI, asyncio, Pydantic, and asynchronous architectures. Experience with vector stores (Chroma, Weaviate, Pinecone) and RAG architectures. Familiarity with NLP, embeddings, retrieval agents, reasoning, and planning functions. Understanding of MLOps: CI/CD, Docker, Kubernetes, agent monitoring, and automated retraining. Fluent technical English to review documentation, academic papers, and collaborate with global teams.

About the job

Main Responsibilities

Deploy and program intelligent agent solutions and LLMs, integrating tools like LangChain, LlamaIndex, AutoGen, CrewAI, or equivalent frameworks.
Implement agents that interact with users, APIs, ERP systems, or external platforms (e.g., WhatsApp, accounting systems, CRMs).
Establish MCP (Model Context Protocol) and A2A (Agent-to-Agent) architectures to facilitate multi-agent coordination and autonomous workflows within business environments.
Collaborate in production environments, working directly with infrastructure, DevOps, and MLOps teams.
Work closely with product, UX, data, and backend teams to ensure successful delivery of planned functionalities.
Adhere to best practices in development, validation, and monitoring of agents, including integration testing, version control of prompts, and decision traceability.
Stay updated on open-source frameworks and relevant literature in the field of agent frameworks, memory architectures, and multi-agent systems.

Qualifications Required

4-6 years of experience in AI projects, with at least 2+ years in the implementation of autonomous agents or copilots.
Proven experience with frameworks such as LangChain, LlamaIndex, AutoGen, CrewAI, Semantic Kernel, or similar.
Practical knowledge of MCP and A2A protocols, memory management, and conversation state handling.
Strong proficiency in Python and experience with FastAPI, asyncio, Pydantic, and asynchronous architectures.
Experience with vector stores (Chroma, Weaviate, Pinecone) and RAG architectures.
Familiarity with NLP, embeddings, retrieval agents, reasoning, and planning functions.
Understanding of MLOps: CI/CD, Docker, Kubernetes, agent monitoring, and automated retraining.
Fluent technical English to review documentation, academic papers, and collaborate with global teams.

Preferred Qualifications

Experience in multicloud projects (Azure, AWS, GCP).
Familiarity with event-driven architectures and microservices, as well as RESTful APIs and gRPC.
Experience working with data...

About Metova

Metova is at the forefront of technology innovation, committed to delivering cutting-edge solutions that empower businesses to thrive in a digital-first world. Our dynamic work environment encourages creativity, collaboration, and continuous learning, making it an ideal place for passionate individuals to grow their careers in technology.

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