AI Solution Engineering Internship

Synthex; United States; Remote; USD 15,000 - 30,000; Part time

Benefits offered by this job

Mentorship by experienced engineers

Remote within Europe

Exposure to production AI systems and

Job summary

Synthex offers a hands-on graduate-level internship on the solution engineering side of an AI platform serving financial services clients. You will turn messy real-world workflows into reliable AI solutions and watch them go live in audited production systems.

Two positions are open for a four to six month window. Responsibilities include translating requirements into AI workflows, configuring node-based engines, and building end-to-end solutions that handle complex financial documents.

Qualifications

• Enrollment in a Master's program or recent CS graduate.
• Strong CS fundamentals and curiosity about AI systems.
• Excellent written and spoken English.
• Ability to solve open-ended problems and communicate clearly.

Responsibilities

• Translate client requirements into concrete AI workflows and end-to-end solutions on a node-based platform.
• Configure and operate node-based workflow engines from prototype to production.
• Design multi-step workflows using tool calls, retrieval, and prompting for deterministic outputs.
• Handle financial documents (PDFs, Excel, emails) including imperfect data.
• Collaborate with client teams to validate outputs and harden solutions for production.

Skills

CS fundamentals

AI curiosity

Problem solving

English skills

Education

Master's student or new graduate

Tools

APIs

ML tooling

Job description

Role overview

A hands-on graduate-level internship on the solution engineering side of an AI platform serving financial services clients. The role focuses on turning messy, real-world financial workflows into reliable AI solutions and watching them go live in audited production systems. Two positions are open for a four to six month window, offering an unusually direct line from problem to production.

Responsibilities

• Translate client requirements into concrete AI workflows and design end-to-end solutions on a node-based platform.
• Configure and operate node-based workflow engines, taking ownership from first prototype through production.
• Compose agentic and multi-step workflows that use tool calling, retrieval, and prompting strategies aimed at deterministic, schema-validated outputs.
• Build solutions that handle difficult financial documents such as PDFs, Excel files, and emails, including imperfect and edge-case data.
• Work alongside client teams to validate outputs, iterate quickly on feedback, and harden solutions until they are accurate, auditable, and trusted in production.

Requirements

• Enrollment in a Master's program or recent graduation, with strong computer science fundamentals.
• Deep curiosity about AI systems that goes past surface-level usage.
• Comfort with open-ended problem solving and clear communication.
• Advanced English, both written and spoken.

Nice to have

• Familiarity with backend systems, APIs, or machine learning tooling.
• Confidence working directly with stakeholders and translating fuzzy requirements into concrete solutions.
• Interest in system design and the constraints of real production environments.

Benefits and work setup

• Remote within Europe, running four to six months between July 2026 and February 2027, with some flexibility around semester schedules.
• Two positions available, starting in July 2026.
• Mentorship from experienced engineers and founders.
• Quarterly team retreats and exposure to production AI systems and live client work.
• Culture oriented around autonomy, focus, and early ownership of meaningful responsibility.