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