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 build the system that brings true understanding to enterprise AI, you’ll feel right at home here.
Senior Software Engineer - Symbolic AI
Location: Remote
Experience Level: 7+ years
The OpportunityAs a Senior Software Engineer on the Symbolic AI - Graph Reasoning team, you will lead the design and implementation of resilient, scalable software, focusing on core platform capabilities and advanced reasoning algorithms.
You will- Design and build highly available, performant, and scalable distributed systems that power our core decision intelligence platform.
- Implement and optimize advanced graph-based reasoning algorithms to solve complex problems within enterprise knowledge graphs.
- Apply expertise in symbolic AI, machine learning, and data systems to deliver production-ready enterprise B2B SaaS features.
- Own and drive architectural initiatives that simplify, secure, and scale platform capabilities.
- Collaborate cross-functionally with Product, Security, and Operations teams to ensure high-confidence delivery.
- Mentor junior and mid-level engineers through technical guidance, code reviews, and design sessions.
- 7+ years of professional experience designing, building, and operating production-grade, distributed software systems.
- Expertise in Python and/or Julia and comfortable selecting appropriate tools for a given technical task, including working with SQL.
- Solid understanding of system design and architecture for data-intensive applications.
- Practical experience with cloud-native infrastructure (e.g., Kubernetes, containers, CI/CD, IaC).
- High engineering maturity, demonstrated by a strong track record of ownership, accountability, and advocating for security, reliability, and performance.
- Excellent communication and collaboration skills.
- Familiarity with core concepts of graph & network analysis.
- Willingness to participate in a shared on-call rotation.
- Proven experience designing and implementing resilient, high-performance, and scalable software systems or data processing pipelines.
- Strong practical background in applied data science, machine learning engineering, or data modeling for complex, high-volume datasets.
- A solid foundation in knowledge representation, symbolic AI, or relational models for structuring complex enterprise data.
- Expertise in relational database systems (SQL/NoSQL) and experience with large-scale distributed data processing technologies.
- Deep understanding of algorithm design, data structures, and how to apply them effectively to analyze relationships within data, including experience with graph-based frameworks and network analysis concepts.
- Demonstrated ability to own and deliver customer-facing features from design through to production operation.
(Bonus points for familiarity with compliance frameworks like SOC2, ISO 27001, or similar, and bonus points for experience with Snowflake)
Why Join RelationalAI- Innovation & Agility – Operate with the pace and adaptability of a startup, where ideas are valued, iteration is fast, and there’s ample room to innovate across the stack.
- Impact – You’ll help shape the platform that underpins data reasoning and intelligent systems at scale.
- Growth – We invest in our people. You’ll work alongside some of the most talented engineers in cloud, distributed systems, and AI infrastructure.
- Autonomy – You’ll have the trust and flexibility to explore, build, and lead from day one.
- Balance – We offer flexible working hours so you can find a rhythm that works for you and your life.
- Transparency & Speed – We move quickly. Expect a short screening process followed by a 4–5 stage interview loop, with full transparency on compensation and expectations throughout.
The Senior Software Engineer - Symbolic AI position offers a base salary range of $180,000 to $240,000, along with equity and comprehensive benefits. Please note that this range serves as a guideline; actual total compensation may vary based on factors such as experience, skill set, qualifications, and geographic location.
At RelationalAI, you will:
- Work from anywhere in the world
- Earn competitive salary + equity
- Enjoy open PTO, flexible schedules, and recharge weeks
- Access global benefits, mental-health support, and learning stipends
- Join a transparent, inclusive, and globally connected culture that values curiosity, excellence, and impact
- Regular team offsites and global events – Building strong connections while working remotely through team offsites and global events that bring everyone together.
- A culture of transparency & knowledge-sharing – Open communication through team standups, fireside chats, and open meetings.
Country Hiring Guidelines:
RelationalAI hires people from around the world. All of our roles are remote; however, some locations might carry specific eligibility requirements.
Because of this, understanding location & visa support helps us better prepare to onboard our colleagues.
Our People Operations team can help answer any questions about location after starting the recruitment process.
How to ApplyIf you’re driven by understanding, powered by curiosity, and ready to help shape the next era of enterprise intelligence — we’d love to hear from you.
Join us and help build the reasoning layer for the modern enterprise.
Privacy Policy: EU residents applying for positions at RelationalAI can see our Privacy Policy here.
California residents applying for positions at RelationalAI can see our Privacy Policy here
RelationalAI is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, color, gender identity or expression, marital status, national origin, disability, protected veteran status, race, religion, pregnancy, sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.
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What We Do
Knowledge Graphs without Compromises At RelationalAI, we are building the world’s fastest, most scalable, most expressive, most open relational knowledge graph management system (RKGMS), built on top of the world’s only complete relational reasoning engine that uses the knowledge and data captured in enterprise databases to learn and reason. The results are stunning. World-class talent driving knowledge graph innovation We believe that future enterprise systems will be built with relational knowledge graphs as a foundation and that each component of the system will either be learned (via machine learning) or declared (via a reasoner). The days of instructing the computer, step-by-step, on how to perform a task will be behind us. Systems built this way, with fewer compute and human resources will increase margins, accelerate growth, and strengthen defensive moats. At RelationalAI, we have brought together a group of leading researchers, data scientists, computer scientists and software engineers with extensive experience applying novel technologies to a wide range of complex problems in multiple industries. Our team benefits from this unique combination of in-house expertise and active collaboration with the world’s foremost research institutions in areas ranging from machine learning and operations research to databases and programming languages. This collaboration regularly yields award-winning publications at the most respected academic conferences and journals.
