Every role is remote and verified by proof of work. Pick your specialty — listings are live from the board.
Remote roles building retrieval-augmented generation systems — vector search, embeddings, chunking, and grounding LLMs in real data. On Inferr, every candidate is verified by proof of work, so teams hire on shipped retrieval systems, not résumés.
Open soon
Remote roles optimizing large-language-model serving — throughput, latency, and cost. Think vLLM, TensorRT, quantization, and GPU efficiency. Inferr surfaces engineers with verified production inference work.
Open soon
Remote roles building autonomous LLM agents — tool use, planning, multi-step workflows, and orchestration with frameworks like LangGraph and CrewAI. Verified by what candidates have actually shipped to production.
Open soon
Remote roles adapting foundation models — LoRA/PEFT, instruction tuning, RLHF, and dataset engineering. Inferr verifies real model-training work, not claims.
Open soon
Remote roles building LLM applications with LangChain and LangGraph — chains, agents, retrieval, and evaluation. On Inferr, LangChain experience is detected from real commits, not self-reported.
Open soon
Remote roles building the infrastructure behind AI products — training and serving pipelines, orchestration with Ray and Kubernetes, observability, and cost control. Verified by shipped infrastructure.
Open soon