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Part Time Applied Engineer Jobs (NOW HIRING)

Implicit

AI Engineer (US-Based / Part-Time)

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 ...

Booz Allen Hamilton, Inc.

Applied AI Engineer

Reston, VA · On-site

$99K - $225K/yr

Reston, Virginia, USA Applied AI Engineer The Opportunity: As an experienced engineer, you know ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

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How much do part time applied engineer jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for part time applied engineer in the United States is $47.09, according to ZipRecruiter salary data. Most workers in this role earn between $35.82 and $60.82 per hour, depending on experience, location, and employer.
What are the most commonly searched types of Applied Engineer jobs? The most popular types of Applied Engineer jobs are:
Part Time Applied Engineer jobs near you
Infographic showing various Part Time Applied Engineer job openings in the United States as of July 2026, with employment types broken down into 75% Full Time, 23% Part Time, 1% Temporary, and 1% Contract. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $97,940 per year, or $47.1 per hour.
AI Engineer (US-Based / Part-Time)

AI Engineer (US-Based / Part-Time)

Implicit

Remote

Part-time

Posted 13 days ago

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.

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