AI Engineer (US-Based / Part-Time)
At a glance
Mid-level AI Engineering role at Implicit. Remote, United States · no salary stated · we estimate $132,450–$205,151 across the United States.
Implicit has not published a salary for this role. The figure below is our estimate, not theirs.
aimlroles summary, based on the employer's posting.
What you'll do
- Build AI applications using LLMs, retrieval-augmented generation, semantic search and agents
- Create document pipelines that extract knowledge and make it available for retrieval
- Raise answer quality by refining prompts, testing results and tuning retrieval
- Develop reliable Python services, with clean, tested code and modern AI frameworks
- Work with product, engineering and data science to prototype features and assess new AI models
What you bring
- At least three years building AI, machine learning or NLP applications in industry, research or open source
- Strong practical knowledge of LLMs, RAG, embeddings and semantic search
- You can build production software in Python and have used PyTorch, TensorFlow or a comparable ML framework
- You understand NLP, machine learning and deep learning, and have worked with APIs, vector databases and AI application frameworks
- A computer science degree or a related qualification, or equivalent hands-on experience
Who this fits
This part-time role suits a mid-level AI engineer who has built AI applications and wants to work on production systems. It is remote within the United States, with a flexible part-time schedule.
From the employer
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.