# AI-Native Tech Lead | Agentic Systems

**Company:** [Alongside](http://jobs.workable.com/companies/qaxqPSE5ubrx7t9x4PfEHY.md)
**Location:** Remote
**Workplace:** remote
**Employment type:** Full-time
**Department:** Alongside

[Apply for this job](http://jobs.workable.com/view/b09711fc-bca2-403f-af97-4e3dfa6329b3)

## Description

**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$-25$