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 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.

Originally posted on Himalayas