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AI-Native Tech Lead | Agentic Systems

๐Ÿ•’ 12 days ago
AI AgentsPythonTypeScriptCloud Infrastructure

๐Ÿ“œ Description

  • Build agent systems with Hermes Agent, OpenClaw, Letta, Agent Zero, OpenHands, or similar open-source runtimes.
  • Use frameworks such as OpenAI Agents SDK, LangGraph, Google ADK, Vercel AI SDK, CrewAI, AutoGen, or Mastra.
  • Develop reusable skills, tools, subagents, workflows, persistent memory, scheduled tasks, and messaging integrations.
  • Integrate OpenAI, Anthropic, Gemini, open-weight, and local models through tool calling, structured outputs, streaming, and model routing.
  • Connect agents to systems using MCP, A2A, REST APIs, webhooks, browsers, terminals, and computer-use tools.
  • Build RAG and context systems using pgvector, Pinecone, Weaviate, Elasticsearch, or equivalent technologies.

๐Ÿ› ๏ธ Requirements

  • Strong software engineering and hands-on technical leadership experience.
  • Experience shipping AI agents or LLM applications into production.
  • Strong Python or TypeScript skills and cloud infrastructure experience.
  • Practical knowledge of agent orchestration, memory, tool use, RAG, evaluations, and human-in-the-loop design.
  • Familiarity with current trends such as self-improving agents, reusable agent skills, and durable execution.

โœจ Benefits

  • Remote work (Vietnam-based)
  • Full time: 8 hours per day, aligned with Portugal business hours (WET/WEST)
  • Freelance / Service Agreement
  • Hourly Rate: 20$-25$
Full job description

Alongside partners with organizations to drive digital transformation and build high-performing tech teams.

Weโ€™re looking for a hands-on Tech Lead to build production-grade AI agents and lead delivery from architecture to deployment. Youโ€™ll code, make technical decisions, and help the team ship reliable AI-powered products quickly.


Responsibilities:

  • Build agent systems with Hermes Agent, OpenClaw, Letta, Agent Zero, OpenHands, or similar open-source runtimes.
  • Use frameworks such as OpenAI Agents SDK, LangGraph, Google ADK, Vercel AI SDK, CrewAI, AutoGen, or Mastra.
  • Develop reusable skills, tools, subagents, workflows, persistent memory, scheduled tasks, and messaging integrations.
  • Integrate OpenAI, Anthropic, Gemini, open-weight, and local models through tool calling, structured outputs, streaming, and model routing.
  • Connect agents to systems using MCP, A2A, REST APIs, webhooks, browsers, terminals, and computer-use tools.
  • Build RAG and context systems using pgvector, Pinecone, Weaviate, Elasticsearch, or equivalent technologies.
  • Establish evaluations and observability with LangSmith, Braintrust, Phoenix, OpenTelemetry, or provider tracing.
  • Secure autonomous agents using sandboxing, least-privilege access, approval gates, secrets management, audit trails, and prompt-injection defenses.
  • Use Codex, Claude Code, Cursor, or GitHub Copilot to accelerate delivery.
  • Own technical plans, production quality, latency, reliability, and model costs.

Requirements

  • Strong software engineering and hands-on technical leadership experience.
  • Experience shipping AI agents or LLM applications into production.
  • Strong Python or TypeScript skills and cloud infrastructure experience.
  • Practical knowledge of agent orchestration, memory, tool use, RAG, evaluations, and human-in-the-loop design.
  • Familiarity with current trends such as self-improving agents, reusable agent skills, local-first and bring-your-own-model runtimes, multimodal and computer-use agents, MCP/A2A interoperability, durable execution, and eval-driven development.

Benefits

  • Remote work (Vietnam-based)
  • Full time: 8 hours per day, aligned with Portugal business hours (WET/WEST)
  • Freelance / Service Agreement
  • Hourly Rate: 20$-25$
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๐Ÿ•’ 6 days ago
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๐Ÿ“ ๐Ÿ‡ช๐Ÿ‡บ EMEA - Remote๐Ÿ’ฐ $170k / year๐Ÿ’ผ Full-Time๐ŸŽบ Lead๐Ÿค– AI Engineer๐Ÿ“ข ๐Ÿ‡ฌ๐Ÿ‡ง English Required
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