Solution Engineer
Build neuro-symbolic AI systems that teach LLMs enterprise logic and semantics
As a Solution Engineer at RelationalAI, you will build and deploy systems that combine relational knowledge graphs with neuro-symbolic reasoning to enable large language models to understand private enterprise data. Your work will focus on creating trustworthy decision intelligence by grounding LLMs in business context and semantics using the company's Superalignment technology. You will collaborate with a globally distributed team of engineer...
Why This Role?
Work on pioneering Superalignment technology to ground LLMs in enterprise data
Key Responsibilities
- Build systems that integrate relational knowledge graphs with LLMs
- Develop neuro-symbolic reasoning components for enterprise AI applications
- Deploy AI solutions that enable LLMs to learn from private structured data
- Collaborate with engineers and scientists to refine decision intelligence systems
- Apply Superalignment technology to improve LLM understanding of business context
Requirements
- Experience with large language models and their integration
- Knowledge of relational knowledge graphs or graph-based systems
- Background in neuro-symbolic AI or hybrid reasoning approaches
- Proficiency in building enterprise AI systems that process structured data
- Ability to work in a globally distributed, remote-first engineering team
Required Skills
Indonesia Context
- Working Hours Overlap:
- Flexible — work your own hours
View Original Description from Jobicy
Original description from Jobicy
Who We Are At RelationalAI, we’re solving one of the most important challenges in artificial intelligence: how to teach large language models the logic, semantics, and business context of the modern enterprise. Frontier models are trained almost entirely on public data — they can speak about the world, but they don’t understand your business. We… Who We Are At RelationalAI , we’re solving one of the most important challenges in artificial intelligence: how to teach large language models the logic, semantics, and business context of the modern enterprise. Frontier models are trained almost entirely on public data — they can speak about the world, but they don’t understand your business. We fix that. RelationalAI has pioneered a breakthrough called Superalignment — technology that enables LLMs to learn natively from private, structured enterprise data inside the data cloud. By combining this with relational knowledge graphs and our proprietary neuro/symbolic-relational reasoners , we deliver trustworthy decision intelligence : systems that use semantic models to truly understand how a business operates and can reason across its data to drive better outcomes. We’re a globally distributed team of engineers, scientists, and builders redefining how AI learns from data. We believe that high-stakes decisions deserve frontier intelligence — intelligence that’s explainable, aligned, and grounded in reality. If you’re driven by curiosity, thrive in complexity, and want to help b
Salary Context
Similar AI roles on LokerDollar pay around $135k/yr (range $12k–370k/yr, n=62 active listings).
Hiring at RelationalAI
RelationalAI has 1 other active role on LokerDollar and has been hiring here since Aug 24, 2026 — across AI.
View all RelationalAI openings →Openness not stated by employer — check the listing
Frequently asked questions
- Is Solution Engineer at RelationalAI a remote job?
- Yes. Solution Engineer at RelationalAI is a fully remote role open to candidates worldwide.
- What type of employment is Solution Engineer at RelationalAI?
- This is a full time position.
- How do I apply?
- Click the "Apply" button on this page to go to the official application at RelationalAI.
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