[Remote] AI Engineer (US-Based / Part-Time)
Note: The job is a remote job and is open to candidates in USA. Implicit is building the leading AI Knowledge Engine for Maintenance and Support. They are seeking a part-time Applied AI Engineer to develop production-grade AI capabilities that address real-world problems across various industries.
Responsibilities
- 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
Skills
- 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
- 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
Benefits
- Competitive compensation.
- Flexible part-time schedule.
- Remote work within the United States.
- Flexible vacation policy.
Company Overview