[Job-32047] Mid-Level AI Engineer

Remote

Posted 1 day ago

Argo

AI summary

This role involves hands-on development of Generative and Agentic AI solutions, working alongside senior engineers and product teams to transition AI projects from experimentation to production.

Eligible from: Brazil

Job Description

We are looking for a Mid-Level AI Engineer to join a delivery team building Generative AI and Agentic AI solutions for a global enterprise client.
You will work closely with senior engineers, architects, and product teams to build and evolve AI solutions from experimentation to production. The role involves hands-on development with RAG, AI agents, enterprise integrations, conversational AI, and intelligent workflows, supported by solid software engineering practices.

Responsibilities

What you will do:

Develop and evolve Generative AI and agentic applications.

Build RAG-based solutions and enterprise knowledge retrieval components.

Implement AI agents that interact with tools, APIs, databases, and enterprise systems.

Work with orchestration patterns such as multi-step workflows, tool use, and Human-in-the-Loop.

Integrate LLM providers and cloud AI services.

Design maintainable and testable components following good software engineering practices.

Implement and maintain evaluation, observability, guardrails, and monitoring capabilities.

Write automated tests and contribute to CI/CD pipelines.

Troubleshoot and improve AI applications in production with support from senior team members.

Collaborate with engineers, architects, product teams, and business stakeholders.

Must-have:

Strong Python development skills and solid software engineering fundamentals.

Good understanding of software design principles, including modularity, separation of concerns, testability, maintainability, and clean interfaces.

Familiarity with common architectural patterns for APIs, services, asynchronous processing, and distributed applications.

Hands-on knowledge of Generative AI and LLM-based application development.

Ability to build RAG solutions and/or agentic workflows.

Familiarity with tool use, function calling, and workflow orchestration patterns.

Proficiency with at least one AI framework or SDK such as LangGraph, LangChain, Semantic Kernel, LlamaIndex, OpenAI Agents SDK, Strands, or similar.

Practical knowledge of at least one major LLM provider, such as OpenAI,

Anthropic Claude, Google Gemini, Azure OpenAI, AWS Bedrock, or similar.

Good understanding of embeddings, vector search, and knowledge retrieval concepts.

Familiarity with AI evaluation, observability, guardrails, and production monitoring.

Ability to integrate AI applications with APIs, databases, and cloud services.

Working knowledge of Docker, CI/CD, automated testing, and version control.

English proficiency for daily collaboration with international teams.

Nice-to-have:

Exposure to multi-agent or long-running agent workflows.

Knowledge of Agentic SDLC or developer tooling integrations.

Familiarity with knowledge graphs or GraphRAG.

Hands-on knowledge of Datadog LLM Observability, LangSmith, OpenTelemetry, or similar platforms.

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About the job

Posted on: Oct 2, 2026
Job type: Full-time
Location: BrazilRemote

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AI summary

Job Description

Responsibilities

What you will do:

Must-have:

Nice-to-have:

Ready to Apply?

About the job

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