# AI Engineer (US-Based / Part-Time) at Implicit

> Remote · United States · Unspecified · ML / AI · open. Source: https://alderhq.app/jobs/greenhouse%3Aimplicit%3A8039713 (read 2026-11-09).

## Facts (observed)

- Company: [Implicit](https://alderhq.app/companies/implicit)
- Location text: Remote / US-Based; United States
- Where it can be done from (inferred): Remote · United States (evidence: "Location: Remote / US-Based; United States")
- Posted: 2026-07-01 (132 days ago)
- First seen by alder: 2026-11-07 · last verified: 2026-11-07
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://job-boards.greenhouse.io/implicit/jobs/8039713
- Skills listed (inferred): Python, PyTorch, TensorFlow, LLMs

## Pay and sponsorship

- Posted pay: not posted
- Market band for similar posted roles (United States, n 735): p25 $183k, median $224k, p75 $275k

## Description (the employer's text)

### 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.

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/greenhouse%3Aimplicit%3A8039713 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.