AI Engineer, Prompt Engineering
Develop and improve the interaction layer between organizational AI solutions, language models, and enterprise knowledge. The role combines prompt engineering, context management, RAG, conversational design, and evaluation with hands-on full-stack development of AI components and supporting tools.
תחומי אחריות
- Design, write, test, and optimize prompts and system instructions for organizational assistants and AI agents.
- Manage context, conversational memory, dialogue structure, and information passed to models.
- Build and improve RAG workflows, including chunking, metadata, embeddings, retrieval, and reranking.
- Work with vector databases and organizational knowledge sources to improve retrieval relevance and accuracy.
- Investigate model response failures, analyze root causes, and improve prompts, context, retrieval, or agent design.
- Collaborate with AI leadership, developers, information security, and business units to translate needs into effective AI behavior.
- Develop backend components and API services connecting AI solutions with models, databases, and organizational services.
- Build internal interfaces and tools for testing, operations, knowledge management, evaluation, and performance analysis.
- Create end-to-end proofs of concept and applications, from prototypes through handoff for production development.
- Document standards, best practices, and methods for consistent LLM use, accounting for quality, privacy, security, and usage costs.
דרישות
- Practical experience with LLMs and prompt engineering.
- Experience managing context, designing conversational flows, and building solutions using organizational knowledge.
- Practical familiarity with RAG, embeddings, and vector databases.
- Experience defining evaluation processes and measuring and improving model response quality.
- Practical experience with Python and API integrations.
- Full-stack development experience, particularly Python backend development and REST APIs.
- Ability to plan and implement end-to-end solutions spanning user interfaces, backend services, databases, and model or agent integration.
- Analytical thinking, attention to detail, and a systematic approach to experimentation.
- Business understanding and ability to translate business needs into instructions, context, and success metrics.
יתרון
- Frontend web development with JavaScript or TypeScript and a framework such as React.
- Experience with Git, CI/CD, Docker, and modern development environments.