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Senior AI Researcher
On-siteFull-timeArtificial Intelligence ResearchCybersecurity
Conduct applied AI research and develop agentic software engineering systems for internal engineering teams. Build and evaluate prototypes, then collaborate with AI engineers to turn validated approaches into reusable components.
Responsibilities
- Track advances in agentic coding and apply state-of-the-art techniques.
- Build proof-of-concept systems and architectural prototypes to evaluate AI techniques.
- Review internal AI solutions, benchmarks, and architectures to identify risks of obsolescence.
- Design testing methods to assess model accuracy, latency, cost efficiency, and drift.
- Research and design knowledge-retrieval architectures, including standard and graph-based RAG and hybrid contextual search.
- Work with AI engineering teams to turn validated prototypes into reusable components.
- Coordinate with the US Foundational AI Research team, including flexible evening meetings in Israel.
Requirements
- At least 5 years of experience in applied AI research, data science, or machine learning engineering.
- Recent hands-on experience developing agentic coding practices.
- Proficiency in Python and/or TypeScript, and familiarity with agent orchestration libraries such as LangChain, LlamaIndex, or LangGraph.
- Experience with automated statistical evaluation of model drift, latency, cost, and hallucination rates.
- Hands-on experience with advanced RAG pipelines, GraphRAG, and graph databases or vector indexes.
- Practical experience with autonomous agent protocols, multi-agent communication, or Model Context Protocol.
Nice to have
- Knowledge of secure data pipelines, role-based access control, and prompt-injection mitigation.
- Production experience with Google Cloud Platform.
- Knowledge of privacy and security considerations for AI and machine learning.
- Postgraduate study or an advanced degree in artificial intelligence, data science, or a related field.