[Job - 32565] AI Engineer Senior, Brazil
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 5h ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 8h ago
The date the source published, not the day we noticed it (2026-11-05). Last seen at its source just now.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
Brazil
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $6,125–7,250/mo
Middle 50% of 12 listings that do state pay — Engineering · Senior · Brazil · USD/month. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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Lever employer's own board first seen 6h ago · last seen just now
The listing
At CI&T, we help large enterprises transform the potential of AI into real business impact with AI Deployment, AI-native execution, and tech-integrated business solutions.
With 30 years of experience in technological transformation, we accelerate innovation with expertise in Agentic SDLC, Application modernization, Data & AI, Martech and Business strategy.
We are 8,000 CI&Ters across more than 25 countries, collaborating to build solutions with real impact. AI is already part of how we work, evolve, and innovate every day.
You will build and maintain the core components teams use to ship agents: the Python SDK, agent and MCP templates, memory and context services, the agent registry integration and the FastAPI entry layer. You will often own one component end to end, as primary support.
Responsibilities:
- Build SDK features and framework adapters (Strands, Claude Agent SDK, LangGraph), including memory (AgentCore Memory short- and long-term, Redis), skills, prompt management integration, and evaluation hooks.
- Build and maintain agent and MCP server templates for AgentCore Runtime and ECS Fargate, over HTTP and A2A.
- Integrate with the AWS Agent Registry: registration, approval flow, identity-scoped discovery. Build and support RAG and knowledge services (Bedrock Knowledge Bases, OpenSearch vector, ingestion pipelines).
- Write contract and integration tests.
- Keep the release parity gate green.
- Help use-case teams onboard, debug their agents, and feed what you learn back into the platform.
- Take part in on-call or office hours, and in RCAs.
Requirements:
- Advanced English proficiency (C1 or above), with autonomy to communicate directly with international stakeholders
- Extensive years of experience in software engineering, with strong Python: FastAPI or similar, async, packaging, testing.
- 1+ year building LLM-powered applications or agents that reached real users (pilot or production).
- Experience with tool calling, prompt design and handling model failures.
- Familiarity with at least one agent framework (Strands, LangGraph, Claude Agent SDK, OpenAI Agents SDK, CrewAI, LlamaIndex).
- AWS experience: Lambda, ECS/Fargate, IAM, S3, DynamoDB, and Bedrock or SageMaker.
- Experience with RAG: embeddings, vector stores, chunking and retrieval tuning.
- Comfortable with CI/CD, containers (Docker) and infrastructure-as-code (Terraform preferred). Preferred Bedrock AgentCore (Runtime, Harness, Gateway, Memory, Identity, Code Interpreter). MCP server development.
- A2A protocol. Redis/ElastiCache, OpenSearch. Langfuse or similar LLM observability, prompt management and evaluation tools.
- Experience writing internal developer documentation and samples (notebooks, quick starts).
Nice to Have:
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AWS certifications and recent study/project history in agent technology will be accepted in lieu of multiple years of hands-on experience.