Lead AI Software Engineer (Knowledge Graph)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Lead AI Software Engineer (Knowledge Graph): Developing and enhancing retrieval systems and agent capabilities using Knowledge Graphs and LLMs with an accent on Cypher query optimization and graph data modeling. Focus on integrating Neo4j-native tools, refactoring KG agents, and benchmarking retrieval performance.
Location: Remote (USA, Canada, Europe, or UK). Availability to work until 1:00 PM ET is required.
Company
is a technology services provider specializing in complex software engineering and AI solutions.
What you will do
- Develop and enhance retrieval of agent capabilities against refreshed Knowledge Graph (KG) data.
- Translate business and scientific use cases into optimized Cypher queries.
- Refactor KG agents to leverage vendor-provided MCP tooling and updated graph schemas.
- Integrate Neo4j-native query generation and retrieval technologies, including Text2Cypher frameworks.
- Design and execute performance evaluations comparing the refreshed KG and refactored agent against current baselines.
- Act as the technical liaison with Neo4j and data vendor support teams.
Requirements
- Strong Python software engineering experience.
- Experience building AI applications using LLMs, tool-calling, and agent frameworks.
- Working knowledge of Neo4j and Cypher query development.
- Experience evaluating and benchmarking retrieval, search, or agent-based systems.
- Experience with observability and tracing for agentic systems (e.g., Langfuse).
- Familiarity with Docker, GitLab CI/CD pipelines, and containerized application deployment.
Nice to have
- Production experience with Neo4j-native GenAI tooling (MCP Cypher Server, Text2Cypher).
- Knowledge of graph schema design and graph data modeling.
- Experience with Snowflake Cortex, AWS Bedrock, or AWS ECS/Fargate.
- Experience with biomedical or life sciences data.
- Neo4j SaaS/Aura environment and performance tuning experience.
Culture & Benefits
- Access to strong management and technical expertise.
- Contract role until the end of the year with possible extension based on project needs and performance.
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