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ioet

Senior Backend Engineer – AI Agent Platform

ioet

. Design and evolve versioned agent contracts and validators, including permissions, approval modes, and mappings between agent capabilities and infrastructure access .

Posted 11/2/2026full-timeRemoteSeniorWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in Backend Engineering with a strong focus on Python, API design, and secure authentication protocols. Proficient in cloud infrastructure management and integrating AI-assisted development tools into production systems.

Highest-signal resume keywords
Backend Engineering ExperienceStrong Python SkillsAPI Design and Streaming CommunicationOAuth 2.0 and OIDC FamiliarityAWS and Kubernetes Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
PythonAPI DesignAsynchronous ExecutionToken VerificationAutomated TestingLLM IntegrationDebuggingConcurrencyReliability Under LoadSecure Authentication
Soft Skills
Strong English Communication Skills
Tools & Technologies
AWSKubernetesTerraformClaude CodeCursorLangChainLangGraphMCPCI/CD WorkflowsStreaming Interfaces
Industry Keywords
Agent FrameworksSecure CI/CDInfrastructure AccessData IngestionEvent-Driven Execution

Tech Stack

Tools & technologies
AWSCloudKubernetesPythonTerraform

About the role

Key responsibilities & impact
  • Design and evolve versioned agent contracts and validators, including permissions, approval modes, and mappings between agent capabilities and infrastructure access
  • Build reliable APIs and streaming interfaces for agent invocation, discovery, and interoperability, including JSON-RPC, server-sent events, and protocols such as A2A
  • Implement secure authentication and authorization flows, including token verification, audience validation, token exchange, and identity propagation to downstream tools
  • Build automated evaluations and release gates for non-deterministic systems, covering expected behavior, required refusals, and meaningful regressions
  • Expand reusable platform capabilities across integrations, agent workflows, data ingestion, file exchange, orchestration, and scheduled or event-driven execution
  • Harden the runtime with restrictive tool policies, resource and cost limits, timeouts, reliable health checks, and graceful shutdown
  • Contribute to secure CI/CD workflows and infrastructure across AWS, Kubernetes, and Terraform
  • Implement sensitive-data controls in collaboration with security and infrastructure teams
  • Help other teams adopt the platform through clear interfaces, documentation, examples, and reusable development workflows
  • Write technical specifications and architecture decision records, making scope, trade-offs, and operational expectations explicit
  • Own a technical area end to end: design and implement it, align with SRE, DevOps, and security teams, and document it for other engineers

Requirements

What you’ll need
  • 5+ years of Backend Engineering experience
  • Strong Python skills, including asynchronous execution, concurrency, debugging, and reliability under load
  • Experience designing APIs and working with streaming or asynchronous communication
  • Use of AI-assisted development tools such as Claude Code, Cursor, or equivalent, including reviewing, testing, and debugging generated code
  • Experience automating repetitive engineering work to improve development speed and reliability
  • Experience integrating LLMs into production systems, including agents that call tools
  • Familiarity with agent frameworks or protocols such as LangChain, LangGraph, MCP, or A2A
  • Experience evaluating LLM-based systems through automated tests, evaluation datasets, or other systematic quality checks
  • Practical understanding of OAuth 2.0, OIDC, token verification, and authorization
  • Hands-on experience with cloud infrastructure and containerized services, preferably AWS and Kubernetes
  • Strong English communication skills — minimum B2 level proficiency
  • Application and CV in English is mandatory
  • Based in Latin America

Benefits

Comp & perks
  • Remote work
  • Flexible schedule
  • Collaboration with international clients
  • USD compensation
  • Paid Holidays and Vacations
  • Paid family and sick leaves
  • English classes
  • Educational and wellness bonus
  • Structured career plan with regular salary reviews
  • Emphasis on personal growth and mentorship