AI Engineer – Part-Time

Implicit

Applied AI Engineer developing AI applications at Implicit. Focused on building machine learning and NLP solutions in a remote part-time position.

Posted 7/1/2026part-timeRemote • 🇺🇸 United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building AI applications utilizing Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG), with strong proficiency in Python and modern machine learning frameworks. Capable of collaborating with cross-functional teams to develop and optimize intelligent pipelines and production AI services.

Highest-signal resume keywords

Large Language Models (LLMs)Retrieval-Augmented Generation (RAG)Python DevelopmentMachine Learning Frameworks (PyTorch, TensorFlow)Natural Language Processing (NLP)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI Application DevelopmentPrompt EngineeringDocument IngestionKnowledge ExtractionRetrieval OptimizationProduction Software DevelopmentAPI IntegrationVector DatabasesDeep Learning TechniquesEvaluation Frameworks

Soft Skills

CollaborationProblem-SolvingCommunication

Tools & Technologies

Claude CodeCursorAI-Assisted Coding Workflows

Certifications & Qualifications

Bachelor’s Degree in Computer Science

Industry Keywords

AI ApplicationsMachine LearningNLP ApplicationsEmerging AI ModelsIntelligent Pipelines

Tech Stack

Tools & technologies

PythonPyTorchTensorflow

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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.

Benefits

Comp & perks

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.