We are seeking an AI Engineer to develop production LLM applications such as RAG pipelines, agents, evaluations, and inference systems. This role involves working on real AI products, optimizing inference, and designing prompts and evaluations for model reliability. The ideal candidate will have strong Python skills and experience with AI frameworks and vector databases.
About the role
Role: AI Engineer (Remote) Location: Remote Payout: $50 - $300/hour Role Overview We are hiring an AI Engineer to build production LLM applications including RAG pipelines, agents, evaluations, and inference systems. In this role, you will work on real AI products that ship to real users. The ideal candidate is strong in Python, comfortable with ambiguity, and excited about designing evaluations and improving model reliability. Key Responsibilities - Build LLM-powered applications: RAG pipelines, agents, fine-tuning, and evaluations. - Optimize inference latency, throughput, and cost across commercial and open models. - Design prompts, evaluations, and feedback loops for reliability and quality. - Work with vector databases, embeddings, and retrieval systems. - Ship user-facing AI features and own their quality end-to-end. - Collaborate with product, engineering, and research teams. Required Skills & Qualifications - 2+ years of software engineering experience, with 1+ year working directly with LLMs. - Strong Python and experience with at least one AI framework (LangChain, LlamaIndex, DSPy, or raw APIs). - Experience with at least one vector database (Pinecone, Qdrant, Weaviate, pgvector). - Prompt engineering and evaluation design experience. - Comfort working with ambiguous, fast-moving problems. - Strong written communication. Preferred Qualifications - Fine-tuning experience (LoRA, QLoRA, full fine-tuning). - Multimodal AI experience (vision, audio, video). - MLOps or production ML systems background. - Published research, conference talks, or open-source AI contributions. - Experience with inference optimization or distributed training. What We Offer - Remote and flexible work environment. - Competitive pay with contract and full-time options. - Generous compute and tooling budget. - Opportunity to work on frontier AI problems. - Collaborative team with strong AI engineering culture. Equal Opportunity Employer We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications. Apply Now!