Senior Python Engineer, Agentic AI

This is a fully remote position, open to applicants in Brazil.

📋 Description

• Develop and maintain Python services that coordinate LLM agents.

• Implement routing and delegation functionalities across multiple agents.

• Facilitate agent-to-agent communication utilizing the A2A protocol and agent cards.

• Create streaming APIs that provide results incrementally.

• Integrate LLMs through platforms like AWS Bedrock/Anthropic, Azure OpenAI, or similar, employing tool calling and prompt templates.

• Enhance applications with observability and LLM tracing capabilities.

• Diagnose and resolve issues in distributed environments.

• Package and deploy services using containers and Kubernetes clusters.

• Ensure secure service-to-service communication via mTLS.

• Oversee the certificate lifecycle management.

• Contribute to CI/CD pipelines and adhere to version control best practices.

⛳️ Requirements

• Proficient in Python programming.

• Demonstrated hands-on experience with the A2A protocol and multi-agent delegation.

• Strong background in asyncio, including async generators, queues, concurrent producers, and task cancellation.

• Proven experience in constructing streaming APIs that deliver results incrementally.

• Familiarity with agentic frameworks like Pydantic AI, LangGraph, or similar tools.

• Experience with tool calling, agent routing, and prompt templating using Jinja2.

• Background in integrating LLM APIs, such as AWS Bedrock/Anthropic, Azure OpenAI, or comparable platforms.

• Experience with OpenTelemetry and LLM tracing tools like Arize Phoenix or similar.

• Skilled in debugging logs across multiple pods using tools such as Splunk, Datadog, or equivalent.

• Proficient in Docker, including multi-stage builds, private registries, and devcontainers.

• Familiar with Kubernetes deployments, services, ingress, probes, kubectl, and k9s.

• Knowledge of mTLS as a client and in managing certificate lifecycles.

• Experience with Git and GitHub Actions.

• Excellent communication abilities.

• High proficiency in English.

• Senior-level experience required.

• Nice to have: Experience with Software Lifecycle documentation, particularly in regulated environments.

• Nice to have: Background in pharmaceutical, healthcare, or life sciences projects.

🏝️ Benefits

• Supportive, people-first, trusted, and empowering work environment.

• Emphasis on team collaboration and mutual support.

• Opportunities for meaningful long-term work and partnerships.