AI-Native Tech Lead | Agentic Systems
# AI-Native Tech Lead | Agentic Systems **Alongside** · Vietnam · `Remote` · `Contractor` 💼 **Уровень роли:** `Senior` 💰 **Компенсация:** `$20 – $25` 🕒 **Статус:** *Опубликовано: сегодня* · *Источник: Himalayas (JSON API)* --- ### Top Skills & Match 🎯 **Ключевой стек роли:** `[Technical-Lead]` `[AI-Engineer]` `[Software-Engineer]` `[AI-Architect]` `[Machine-Learning-Engineer]` `[Senior-Agentic-AI-Engineer]` `[Agentic-AI-Solutions-Architect]` `[AI-Agentic-Systems-Engineer]` `[AI-Technical-Lead]` --- ### About the Role Alongside partners with organizations to drive digital transformation and build high-performing tech teams. We’re looking for a hands-on Tech Lead to build production-grade AI agents and lead delivery from architecture to deployment. You’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$ Originally posted on Himalayas
- Technical-Lead
- AI-Engineer
- Software-Engineer
- AI-Architect
- Machine-Learning-Engineer
- Senior-Agentic-AI-Engineer
- Agentic-AI-Solutions-Architect
- AI-Agentic-Systems-Engineer
- AI-Technical-Lead
Наблюдалась 2026-10-05, впервые 2026-10-05, источник — Himalayas (JSON API).