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.
Cloud Engineering - Software Engineer
Location: Remote (EU/Middle East/North Africa/North America/South America)
Experience Level: 2+ years
Teams Hiring: Reliability Engineering, Continuous Integration, Continuous Deployment, and Data Ingestion
Who We AreAt RelationalAI, we are building the future of intelligent data systems through our cloud-native relational knowledge graph management system—a platform designed for learning, reasoning, and prediction.
We are a remote-first, globally distributed team with colleagues across six continents. From day one, we’ve embraced asynchronous collaboration and flexible schedules, recognizing that innovation doesn’t follow a 9-to-5.
We are committed to an open, transparent, and inclusive workplace. We value the unique backgrounds of every team member and believe in fostering a culture of respect, curiosity, and innovation. We support each other’s growth and success—and take the well-being of our colleagues seriously. We encourage everyone to find a healthy balance that affords them a productive, happy life, wherever they choose to live.
We bring together engineers who love building core infrastructure, obsess over developer experience, and want to make complex systems scalable, observable, and reliable.
The OpportunityAs a Software Engineer in our Cloud Engineering organization, you’ll work on one of four teams critical to the foundation and delivery of our platform:
- Reliability Engineering — Owns observability, incident response analytics, security & compliance enforcement, and service health insights.
- Continuous Integration — Builds and scales pre-integration pipelines, test infrastructure, and build systems to maintain developer velocity.
- Continuous Deployment — Manages CD pipelines, native app packaging, feature flagging, DR, and multi-cloud deployments.
- Data Ingestion (SF Integration) — Owns ingestion pipelines, SQL interfaces, billing, and resource provider framework bridging cloud and service layers.
You’ll collaborate across engineering, product, and customer teams to build robust infrastructure and tools that enable high-velocity, high-confidence software delivery. You’ll also contribute to critical architectural decisions and champion reliability, efficiency, and simplicity in every layer of the stack.
- You have 2+ years of hands-on software development experience.
- You’re language agnostic, comfortable working in whatever stack suits the problem best (e.g., Python, Go, Rust, etc.).
- You understand or are eager to learn cloud-native infrastructure: Kubernetes, containers, CI/CD systems, and infrastructure-as-code.
- You have a strong sense of ownership and engineering maturity—your code runs in production and you want it to stay up.
- You’re comfortable with ambiguity and thrive in environments where problems are not fully scoped.
- You care about developer experience and building the tooling that makes others faster and safer.
- You bring a security-first mindset to how infrastructure and systems are built. (Bonus: familiarity with compliance frameworks like SOC2, ISO 27001, etc.)
- You communicate clearly, seek feedback, and give it thoughtfully.
- You are interested in shared on-call responsibilities, after ramp-up, as part of a culture of ownership and operational excellence.
- 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.
RelationalAI is proud to be an equal opportunity employer. We welcome people of all backgrounds, experiences, and identities. We are committed to building a team that reflects the rich diversity of our customers and communities.
The annual salary range for this position is $150,000 to $200,000. Actual compensation will be determined based on the candidate’s skills, qualifications, experience, and location. Please note that our compensation structure varies by region, and salary ranges may differ accordingly.
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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