TL;DR
AI Automation Engineer (AI Engineering): Design and build production-grade AI systems powered by modern LLMs with an accent on AI-driven automation, AI agents, and developer productivity tools. Focus on building and shipping AI-powered automation systems, integrating LLMs into applications, and accelerating software development using AI.
What you will do
- Build AI-powered automation systems for internal tools and client solutions
- Design and implement AI agents that interact with APIs, retrieve information, and execute workflows
- Integrate LLMs into applications using RAG, embeddings, and tool/function calling
- Develop AI-powered tools that improve developer productivity such as testing, documentation, and code generation
- Prototype new AI capabilities and quickly turn them into working systems
Requirements
- Strong software engineering background in Python or TypeScript
- Experience building backend services and APIs
- Hands-on experience working with LLM APIs (OpenAI, Anthropic, etc.)
- Experience building systems using RAG, embeddings, or vector search
- Experience building automation workflows or AI-powered tools
- Fully remote work with flexible working hours
Nice to have
- Experience scaling AI agent systems in production environments
- Knowledge of optimizing latency, throughput, cost, and high-RPS AI workloads
- Experience with LangChain, LangGraph, or similar orchestration frameworks
- Vector databases, AI evaluation tools, DevOps/cloud infrastructure experience
- Experience integrating AI into SaaS platforms
Culture & Benefits
- Fully remote work with flexible working hours
- Competitive compensation based on experience
- Opportunity to work on cutting-edge AI systems and automation projects
- High level of technical ownership and autonomy
- Fast-moving team with direct impact on products and architecture
- Access to modern AI tools and infrastructure