AI Engineer (US-Based / Part-Time)

Job description

# **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 Cursor, Codex 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.