Data Scientist
Content + Source + Freshness • 12 Dec 2025 • 95% confidence
Offer value
High value due to the innovative nature of the role, strong demand for expertise in data structures, and the growing relevance of AI technologies in various industries.
- Engage with innovative AI technologies and knowledge graphs
- Remote work option with a supportive company culture
- Strong career growth potential in a tech-driven environment
- Requires specialized technical skills and experience
Pros
- Opportunity to work on cutting-edge AI and knowledge graph technologies
- Remote working flexibility with a strong emphasis on diversity and inclusion
- Potential for significant impact on the company's AI product offerings
Cons
- Requires high-level technical expertise, potentially limiting candidate pool
- Fast-paced environment which might not suit everyone
- Expectations for continuous learning and adaptation to new technologies
Who it's for
Mid to Senior • Fully remote
Good fit
- Mid to senior-level software engineers in AI
- Tech-savvy individuals eager to tackle AI challenges
- Professionals committed to continuous learning
Not recommended for
- Those with little experience in AI and data systems
- Candidates uncomfortable with a fully remote setting
- Individuals preferring simpler technical environments
Motivation fit
Key skills
About the job
Responsibilities
- Agent Orchestration: Develop, deploy, and maintain custom agents and the core orchestrator that links them, focusing on robust, scalable, and resilient system design.
- Knowledge Graph Development: Design and implement the structure (nodes, edges, relationships) of specialized Knowledge Graphs/Trees to organize domain-specific data.
- Deterministic Retrieval: Optimize data retrieval mechanisms to ensure the agent uses the structured knowledge base for deterministic and highly accurate answers, moving beyond purely probabilistic LLM outputs.
- System Scaling: Contribute to the architecture and infrastructure that supports the growing number of custom agents and the increasing complexity of their interactions.
- R&D Implementation: Translate new research findings in agent technology and graph databases into production-grade features.
Requirements
- Strong experience in Software Engineering (Python, Java, or similar) with a focus on scalable backend systems.
- Proven experience working with LLMs (Large Language Models) and/or Agentic Frameworks (e.g., LangChain, AutoGen, custom orchestration layers).
- Solid understanding and practical experience with Knowledge Graphs, graph databases, or similar structured data retrieval systems.
- Experience with Data Structuring and ensuring data integrity for consumption by specialized AI agents.
Preferred Qualifications (Nice to Have)
- Familiarity with financial services.
- Experience designing and building event-driven architectures (Kafka, RabbitMQ, etc.).
- Background in academic or industry R&D related to AI, NLP, or reasoning systems.
- Familiarity with React frontend framework.
About the Company
Ambush is a People Company. We care about our people as much as we care about building great products. We take a human-centered approach to identifying, retaining, and integrating highly talented, long-term remote people into America’s best product and development team. We began our consulting journey in 2015 and have been growing ever since by delivering the best quality work possible for our clients. We are passionate about what we do every day, and teamwork is one of our core values.
Category
AI & Machine Learning
