Implicit
AI Engineer (US-Based / Part-Time)
engineeringfull-timeRemote / US-Based
SALARY
Not listed
WORK TYPE
remote
JOB TYPE
full-time
INDUSTRY
ai
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About the role
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.
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