Solution Engineer
RelationalAI · Engineering · Senior · 1mo ago
$170k – $200k
per year
Anyone, anywhere in the world can apply.
Direct from the employer's own careers page
Who can apply
Read straight from the listing, so you know before you spend time on it.
Anyone, anywhere in the world can apply.
“We’re a globally distributed team of engineers, scientists, and builders redefining how AI learns from data.”
The team is globally distributed across engineering, science, and builder roles.
- Async-first
- The listing doesn't promise async-first working.
- Contractor / B2B
- No mention of hiring international contractors or invoicing.
- Global stipend
- No home office or equipment budget mentioned.
- Annual retreat
- No company-paid get-togethers mentioned.
Read from the listing automatically. Always confirm the details with the company before you accept an offer.
About the role
In this role, you will be embedded inside customers' hardest problems and take end-to-end ownership until solutions run in production. You will model business logic, formulate reasoning problems, write PyRel, and deploy workloads against real data in customer cloud data warehouses like Snowflake. Beyond customer delivery, you are tasked with identifying missing platform primitives, building workarounds, and opening PRs upstream to evolve the core product.
What you'll do
- Own solution delivery end to end, from discovery and modelling to implementation, performance tuning, and production hardening.
- Design and ship decision solutions using ontologies, rules, graph analytics, optimization formulations, and predictive models.
- Scope and build workarounds when platform features are missing, contributing reusable implementations and PRs back to the core product.
- Collaborate with Product by translating customer deployment patterns and edge cases into clear product requirements.
- Conduct technical discovery workshops, demos, and proofs of concept to uncover root problems and feasibility.
- Create reference implementations and repo documentation to maintain reproducibility and avoid long-term technical debt.
What you bring
- 5+ years of experience building and shipping software to production, including customer- or partner-facing environments.
- Demonstrated ability to own the entire delivery arc from ambiguous problem statements to production deployment.
- Strong SQL proficiency and deep familiarity with cloud data platforms such as Snowflake, BigQuery, Databricks, or Redshift.
- Strong programming ability in Python, with declarative or logic-style language experience preferred.
- Demonstrated skill in debugging unfamiliar codebases, analyzing stack traces, and conducting root-cause analysis.
- Strong communication skills to engage effectively with both executive business stakeholders and senior data engineers.
About RelationalAI
RelationalAI combines relational knowledge graphs and neuro/symbolic-relational reasoners to give large language models the logic and business context needed for enterprise decision intelligence.
View RelationalAI profile & open roles →