Ambush
Ambush
Ambush este o companie de consultanță axată pe oameni, care ajută organizațiile să formeze și să integreze echipe de design și inginerie la distanță. Oferă servicii de dezvoltare software și design prin parteneriate pe termen lung și lucrează cu clienți din domenii precum sănătatea, finanțele și protecția vieții private. Abordarea sa pune accent pe găsirea profesioniștilor calificați, sprijinirea retenției acestora și asigurarea unei colaborări eficiente a echipelor la distanță în cadrul organizațiilor clienților.

Senior Python Engineer, Agentic AI — Brazil Remote

Build multi-agent LLM services at Ambush, an engineering, design, and strategy company. Work includes streaming APIs, Kubernetes deployments, and secure AI integrations.

Descriere

  • Build and maintain Python services that coordinate LLM agents
  • Develop routing and delegation between agents
  • Enable agent-to-agent communication with the A2A protocol and agent cards
  • Create streaming APIs that return results as they become available
  • Connect LLMs through AWS Bedrock/Anthropic, Azure OpenAI, or similar platforms using tool calls and prompt templates
  • Add observability and LLM tracing to applications
  • Diagnose issues in distributed environments
  • Package and deploy services in containers and Kubernetes clusters
  • Protect service-to-service communication with mTLS
  • Oversee certificate lifecycle management
  • Support CI/CD pipelines and sound version control practices

Cerințe

  • Strong proficiency in Python
  • Practical experience with the A2A protocol and multi-agent delegation
  • Solid knowledge of asyncio, including async generators, queues, concurrent producers, and task cancellation
  • Experience creating streaming APIs that return results incrementally
  • Experience with agentic frameworks such as Pydantic AI, LangGraph, or similar tools
  • Experience with tool calling, agent routing, and Jinja2 prompt templating
  • Experience integrating LLM APIs such as AWS Bedrock/Anthropic, Azure OpenAI, or comparable platforms
  • Experience with OpenTelemetry and LLM tracing tools such as Arize Phoenix or similar tools
  • Experience investigating logs across multiple pods using Splunk, Datadog, or similar tools
  • Experience using Docker, including multi-stage builds, private registries, and devcontainers
  • Experience deploying to Kubernetes and working with services, ingress, probes, kubectl, and k9s
  • Experience using mTLS as a client and managing certificate lifecycles
  • Experience with Git and GitHub Actions
  • Excellent communication skills
  • Strong command of English
  • Senior-level experience
  • Preferred: Experience documenting the software lifecycle, particularly in regulated environments
  • Preferred: Experience in pharmaceutical, healthcare, or life sciences projects

Beneficii

  • A people-focused, supportive, trusted, and empowering workplace
  • A collaborative team culture built on mutual support
  • Meaningful long-term work and partnerships

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