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Overview
Job details
Full relocation support
Help with the move, per the ad.
Requirements
Have the right to work in Spain
Artificial Seed doesn't mention sponsorship in the ad.
Work on-site in Bilbao
Full relocation support offered.
Pay & benefits
What you'll get
- Flexible schedule - you choose when to start your day;
- Relocation to Bilbao, Spain for you and your family, with full support at every stage (documents, housing, adaptation, even pets);
- Unlimited vacation - take time off when you really need it;
- A culture of trust and respect for professionals, with no micromanagement;
- A modern office in a cozy district, regular team events and off-sites;
- Growth and participation in architectural decisions, challenging tasks, and a strong team you can learn from.
Requirements
Languages
- Core stack: excellent command of Python / TypeScript / Node.js;
- POSIX & OS: deep understanding of Unix/Linux processes, standard streams (stdin/stdout/stderr), signals (SIGTERM/SIGKILL), IPC, pseudo-terminals (PTY), network isolation, and socket fundamentals;
- Asynchronous programming: strong hands-on experience with Async/Await, Event Loop, Stream API, Channels, Promises/Futures.
The role
We are looking for an AI Agent Platform Engineer to develop a platform for autonomous virtual employees: designing agentic systems, integrations with LLMs and tools, and ensuring their reliability, security, and resilience.
What you'll do
- Develop a platform for autonomous AI agents;
- Design how agents interact with LLMs, tools, and external services;
- Design agentic architectures, Tool-Use loops, and Multi-Agent Collaboration;
- Develop sandboxing and secure execution mechanisms;
- Improve system fault tolerance and investigate non-deterministic LLM behavior;
- Work in a spec-driven development approach with active use of coding agents.
description
Stack: Python / TypeScript / Node.js, OpenAI-compatible API, Responses API, Docker, Linux, HTTP/2, WebSockets, gRPC, SSE, MCP.
2. LLM & Agentic Engineering
- API Providers: experience with OpenAI-compatible APIs and the Responses API;
- System-level prompt engineering: understanding of System Prompts, tool injection, and Structured Outputs;
- Agent patterns: practical understanding of ReAct, Plan-and-Solve, Reflexion, Tool-Use loops, and Multi-Agent Collaboration.
3. System security and sandboxing
- Experience building isolated environments: Containers, Docker API, Linux namespaces, chroot;
- Understanding of LLM attack vectors: Prompt Injection, Indirect Prompt Injection, and Path Traversal through tool calls.
4. Protocols
- Experience with HTTP/2, WebSockets, gRPC, Server-Sent Events (SSE), and MCP (Model Context Protocol).
About Artificial Seed
- Industry
- Artificial Intelligence
- Website
- artificialseed.io
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