We are redirecting you to the source. If you are not redirected in 3 seconds, please click here.

AI Engineer (US-Based / Part-Time) at Implicit. . Location: Remote / US-Based. Applied AI Engineer (Part-Time, Remote – U.S.). . Innovation is at the heart of what we do.. . At Implicit, we’re building the leading AI Knowledge Engine for Maintenance and Support. Our secure, no-code platform transforms complex technical documents, manuals, procedures, and operational data into trusted, structured knowledge that powers both human experts and AI agents.. . We’re looking for a part-time Applied AI Engineer to help build the next generation of enterprise AI. You’ll work alongside experienced engineers, product leaders, and AI researchers to develop production-grade AI capabilities that solve real-world problems across defense, manufacturing, customer support, and other knowledge-intensive industries.. . What You’ll Do. . . Design and build AI applications powered by LLMs, RAG, semantic search, and AI agents.. . Develop intelligent pipelines for document ingestion, knowledge extraction, and retrieval.. . Improve answer quality through prompt engineering, evaluation frameworks, and retrieval optimization.. . Build and optimize production AI services using Python and modern AI frameworks.. . Work with agentic development tools including Claude Code, Cursor, and AI-assisted coding workflows.. . Write clean, maintainable, well-tested code with a strong focus on quality and reliability.. . Collaborate closely with product, engineering, and data science teams to rapidly prototype and ship new capabilities.. . Evaluate emerging AI models, tools, and techniques to continuously improve the platform.. . . Required Qualifications. . . 3+ years of experience building AI, machine learning, or NLP applications through industry, open-source, or research.. . Strong experience with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), embeddings, and semantic search.. . Solid understanding of NLP, machine learning, and modern deep learning techniques.. . Hands-on experience with PyTorch, TensorFlow, or similar ML frameworks.. . Strong Python development skills and experience building production software.. . Experience working with APIs, vector databases, and AI application frameworks.. . Bachelor’s degree in Computer Science or a related field, or equivalent practical experience.. . . Preferred Qualifications. . . Experience building AI systems for enterprise knowledge management or technical documentation.. . Experience with AI agents, tool calling, and agentic workflows.. . Familiarity with knowledge graphs, OCR, document parsing, or multimodal AI.. . Experience deploying AI applications using modern MLOps practices.. . Experience evaluating and benchmarking LLM performance.. . . What We Offer. . . Competitive compensation.. . Flexible part-time schedule.. . Remote work within the United States.. . Flexible vacation policy.. . Opportunity to build cutting-edge AI products with a small, experienced, and highly technical team tackling challenging real-world problems..