Expert Software Engineer – Scala / Kotlin / OCaml

About the Opportunity

A leading AI research organization is evaluating how advanced AI systems perform in specialized engineering domains, and is seeking expert software engineers with deep, hands-on experience in Scala, Kotlin, and/or OCaml. You'll apply your expertise to assess complex, real-world technical scenarios — directly shaping how cutting-edge AI performs in these ecosystems. Single-language specialists are strongly encouraged to apply.

What You'll Do

• Apply your language expertise to evaluate technical tasks against real-world professional standards

• Review intricate code-level situations and provide precise, structured written assessments

• Work inside containerized repositories (Docker), running and interpreting programmatic and CI-style checks to judge whether an engineering environment is sound

• Provide clear written rationales explaining your expert judgments

• Complete well-defined, time-bounded tasks with explicit evaluation criteria

Who We're Looking For

We value strong CS fundamentals, fast ramp-up, and high ownership — engineers who can flex across languages are especially valued, and deep single-language specialists are very welcome. The ideal candidate brings:

• 5+ years of professional software engineering in one or more of:

• Scala — functional/OOP JVM development; distributed systems; Spark, Akka, Cats, or ZIO; data engineering contexts

• Kotlin — JVM and Android development; coroutines; modern backend services

• OCaml — typed functional programming; compilers, tooling, or formal/systems work

• Comfort working in Docker/CI-based repo environments and reading automated checks — or the ability to ramp on these fast

• Ability to articulate not just what code does but why it's correct or idiomatic, clearly in writing

• Welcomed: engineers from top product, data, or research engineering backgrounds; non-traditional digital footprints are fine — a GitHub profile is not required

Why This Work Matters

Scala, Kotlin, and OCaml power distributed data systems, modern mobile and backend platforms, and high-assurance software — domains where AI systems still have limited depth. Your assessments directly influence how they learn to operate in them.

Engagement Details

• Compensation: $120–200/hour, based on depth and experience

• Expected commitment: 20–40 hrs/week

• Task flow is variable — work tends to arrive in waves, and there can be a lag between task batches. We're looking for people who stay flexible, including availability on weekends when needed, and who take ownership of keeping the project moving forward

• No proprietary tooling required — tasks are completable without employer-provided systems