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 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.
Originally posted on Himalayas
Who can apply
Eligible countries: United States. Accepted UTC offsets: UTC-10, UTC-9, UTC-8, UTC-7, UTC-6, UTC-5, UTC+14. Review the full description for employer-specific work authorization, residency and schedule requirements.