AI Solution Engineer

Synthex; United States; Remote; USD 99,000 - 143,000; Full time

Benefits offered by this job

Equity

Fully remote in Europe

Flexible start date

Quarterly team retreats

Job summary

Synthex seeks a full-time remote software engineer in Europe to bridge an AI platform with financial services clients. You will own problem framing, design, building, and client-facing iteration, turning messy workflows into dependable AI solutions that run in audited production environments.

You will translate client requirements into AI workflows, craft robust pipelines, handle documents like PDFs and emails, and collaborate with client teams to validate outputs and harden solutions toward

Qualifications

• Strong computer science fundamentals and curiosity about AI systems beyond surface-level usage.
• Ability to solve open-ended problems and communicate clearly in writing and speech.
• Willingness to learn independently when facing ambiguity and ask good questions.
• Advanced English, both written and spoken.

Responsibilities

• Translate client requirements into concrete AI workflows and ship end-to-end solutions on a node-based platform.
• Compose agentic and multi-step workflows, including tool calling, retrieval-augmented generation, and prompting strategies that favor deterministic, schema-validated outputs.
• Build solutions that handle challenging financial documents such as PDFs, spreadsheets, and email threads, including imperfect and edge-case data.
• Work directly with client teams to validate outputs, gather feedback quickly, and harden solutions until they are accurate, auditable, and production-ready.
• Own delivery from the first prototype through to a live deployment in a regulated system.

Skills

CS fundamentals

AI systems curiosity

Open-ended problem solving

Independent learning

Advanced English

Job description

Role overview

A full-time, remote engineering role based in Europe that sits at the seam between an AI platform and the financial services clients who use it. The work centers on turning messy, real-world financial workflows into dependable AI solutions that run in audited production environments. It is a high-ownership position spanning problem framing, solution design, hands-on building, and client-facing iteration.

Responsibilities

• Translate client requirements into concrete AI workflows and ship end-to-end solutions on a node-based platform.
• Compose agentic and multi-step workflows, including tool calling, retrieval-augmented generation, and prompting strategies that favor deterministic, schema-validated outputs.
• Build solutions that handle challenging financial documents such as PDFs, spreadsheets, and email threads, including imperfect and edge-case data.
• Work directly with client teams to validate outputs, gather feedback quickly, and harden solutions until they are accurate, auditable, and production-ready.
• Own delivery from the first prototype through to a live deployment in a regulated system.

Requirements

• Strong computer science fundamentals and curiosity about AI systems beyond surface-level usage.
• Comfort with open-ended problem solving and clear written and verbal communication.
• Willingness to learn independently and ask good questions when facing ambiguity.
• Advanced English, both written and spoken.

Nice to have

• Professional experience in backend systems, APIs, or machine learning tooling.
• Hands-on work with LLM orchestration, retrieval pipelines, or other applied AI workflows.
• Confidence working directly with stakeholders and translating fuzzy requirements into working solutions.
• Genuine interest in system design and the constraints of real production environments.

Benefits and work setup

• Full-time, fully remote within Europe.
• Flexible start date, ideally as soon as practical.
• Competitive salary plus meaningful early-stage equity.
• Culture oriented around autonomy, focus, and ownership rather than hours logged.
• Quarterly team retreats and exposure to real production AI deployments with real clients.