Senior Backend Engineer – AI Agent Platform
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Job Description
Senior Backend Engineer building ioet’s shared AI agent platform for global software clients. Designing secure APIs, agent runtimes, evaluations, and cloud infrastructure.
Responsibilities:
- 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:
- 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:
- 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
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