Tóm tắt công việc
As an AI Engineer at Forix, you will lead the design and delivery of AI-driven solutions and agentic automation workflows that boost employee productivity and streamline internal operations, from spotting bottlenecks to shipping production-ready internal tools.
JOB DESCRIPTION
Workflow Audit & AI Transformation: Analyze processes across departments (Operations, Sales, PM, Engineering, QA) to identify bottlenecks and high-ROI AI opportunities.
Process Automation & Internal Tools: Build and maintain automated workflows and internal tools connecting email, CRM, Jira, Git, and SaaS platforms, using n8n/Make, Python (FastAPI), and modern UI.
Rapid Idea-to-Production Delivery: Turn validated ideas into production-ready tools in days, not weeks, by driving AI coding agents (Claude Code, Codex) inside well-designed harnesses (context files, skills, MCP, hooks, tests, CI/CD) without compromising quality or security.
Agentic Systems & RAG: Design multi-agent workflows and RAG pipelines for research, proposal/quote drafting, and data extraction, with schema validation, quality gates, and human-in-the-loop approvals.
Monitoring & Cost Optimization: Track output quality, latency, and token costs using tracing and evaluation tools (e.g., Langfuse, LangSmith).
AI Enablement & R&D: Act as the internal AI champion: train teams, share best practices, and evaluate new models, protocols (MCP), and tools to prototype impactful solutions for Forix.
High, competitive base salary
13th month salary
Monday-Friday work week (9AM-6PM)
Ongoing education and training opportunities
Monthly team building events
Annual company retreat
Personal Healthcare Insurance
Annual Healthcare Checkup
15 days leave per year
Christmas Holiday
Daily tea, snack, and fruit breaks

Must-have
Experience: 3+ years in Software/Backend Engineering or Applied AI/Automation, with AI or automation systems in production for real users.
Engineering Foundation: Strong Python (async, FastAPI/Flask, REST APIs) and clean code habits; working knowledge of PostgreSQL/MySQL, Git, Docker.
LLM & Agents: Hands-on with LLM APIs (OpenAI, Anthropic, Gemini) and agent frameworks (LangGraph, CrewAI, or similar); solid grasp of prompt engineering, tool use, structured outputs, and RAG/vector databases.
Automation Platforms: Proficiency with n8n, Make, or similar, including code nodes, webhooks, and API integrations.
AI-Native Development: Daily use of AI coding agents (Claude Code, Codex, or similar) to ship features end-to-end; able to build the harness around them and to critically review, test, and own AI-generated code in production.
Problem Solving & Ownership: Turns ambiguous manual workflows into structured automation; strong ownership and ability to guide others through change.
Communication: good professional English.
Nice-to-have
Building simple frontends or dashboards (React, TypeScript, or Streamlit).
Familiarity with eCommerce, SDLC/Jira automation, or CRM platforms.