Senior · Remote · Full-time
Build LLM integrations, RAG systems, and intelligent automation for our clients. You'll work across the full AI stack — from data pipelines and embeddings to production-ready agent systems that real users depend on.
This isn't a research role — it's applied AI engineering. You'll take LLM capabilities (OpenAI, and others as needed) and turn them into reliable, monitored, production systems using Python and frameworks like LangChain.
You should care as much about evaluation, guardrails, and cost/latency tradeoffs as you do about prompt design — production AI systems fail in boring, unglamorous ways, and we want engineers who anticipate that.
Work with accountable, English-fluent professionals who communicate clearly, protect quality, and deliver with a steady operating rhythm. Cost efficiency matters, but performance is why clients stay with us.