AI Engineer (US-Based / Part-Time)
At Implicit · Remote / US-Based; United States, United States
- Data and ML
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- Posted
- 1 July 2026
- First seen by us
- 15 October 2026
- Last checked
- 2 hours ago
Job description
From Implicit’s job post, as they wrote it.
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.
Read the full description
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.
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