AI Platform Engineer

About the company

The company delivers enterprise intelligence at scale by giving organizations secure, governed access to all their data, wherever it lives. Built for distributed data environments, the company helps enterprises power AI and analytics without the cost and complexity of traditional data consolidation. With open standards including Trino and Apache Iceberg, the company enables trusted access to complete enterprise context while helping organizations avoid vendor lock-in. Leading global enterprises trust the company to fuel AI, analytics, and enterprise intelligence. Learn more at the company .

About the Team

We build the AI layer for the company's products, including AIDA. We design agents that let users ask questions in natural language and get accurate, grounded answers backed by their actual data. We operate with startup speed inside an enterprise company, shipping weekly and measuring results. This is the first dedicated platform engineering hire on the team.

Role Summary

You will build the shared development primitives that make multiple product teams faster, with clean abstractions across the Python/JVM boundary. This role is a force multiplier: instead of building product features directly, you build the platform, SDK, and tooling that enables every other engineer on the team to ship faster.

You will own the developer experience for agent development at the company, building from 0 to 1 and scaling across teams. Your work is measured by other engineers' velocity, not your own feature output.

As an AI Platform Engineer at the company, you will

• Design and build an agent development SDK that abstracts common patterns (tool registration, context management, evaluation hooks, prompt management)

• Build the language bridge between Python (AI ecosystem) and JVM (the company platform) with type safety, error propagation, and observability across the boundary

• Create developer tooling: local development environments, debugging tools, test harnesses, CI integration

• Define and maintain API contracts between the AI layer and the company platform

• Build shared infrastructure: model gateway, observability pipeline, experiment framework

• Develop unified, product-agnostic components used across multiple products

• Own platform health beyond feature delivery: performance, reliability, developer ergonomics

Some of the things that we look for

• 5+ years of software engineering experience, with at least 2 years building platform, infrastructure, or developer tooling

• Proficiency in both Python and JVM languages (Java or Kotlin)

• Experience designing APIs and SDKs consumed by other engineering teams

• Strong distributed systems fundamentals: RPC, serialization, error handling, observability

• Experience with containerization, CI/CD pipelines, and cloud infrastructure (AWS preferred)

• Track record of building tools that measurably improve other engineers' velocity

• Ability to Travel : This role will require 25% in-person travel for purposes including but not limited to new hire onboarding, team and department offsites, customer engagements, and other company events. Actual travel expectations may vary by role and business needs

Preferred Qualifications

• Experience with LLM integration patterns: model APIs, token management, streaming, tool use

• Experience with cross-language interop (gRPC, FFI, language bridges)

• Open-source contributions to developer tooling or infrastructure projects

• Familiarity with A/B testing frameworks and experiment infrastructure

• Experience supporting both research and production workloads on the same platform

• Java agent framework experience (LangChain4j)

Build your career at the company

All-Stars have the opportunity and freedom to realize their true potential. By building alongside top talent, we’re empowered to take ownership of our careers and drive meaningful change. Anchored in industry-proven technology and unprecedented success, All-Stars are taking on the challenge everyday to disrupt our industry –  and the future.

Our global workforce is supported by a competitive Total Rewards program that reflects our commitment to a rewarding and supportive work environment. This includes a variety of benefits like competitive pay, attractive stock grants, flexible paid time off, and more.

We are committed to fostering an intentional, inclusive, and diverse culture that drives deep engagement, authentic belonging, and an exceptional All-Star experience. We believe that diversity of thought, perspective, background and experience will enable us to own what we do, drive our success and empower our All-Stars to show up authentically.

The company provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state

or local laws.