Forward Deployed Engineer

Jobgether; Lavamünd; Vor Ort; CHF 81.000 - 145.000; Vollzeit

Benefits dieser Stelle

Stock options equity

Remote-first environment

Home office stipend $1,200

Flexible PTO

Zusammenfassung

Forward Deployed Engineer role in Switzerland with a partner company, focusing on AI infrastructure and customer success. You will work at the intersection of software engineering and AI, delivering architectural guidance, proof-of-concept work, and enablement for high-value customers.

You will troubleshoot, analyze logs, and collaborate across engineering, sales, and product teams to turn customer needs into practical platform improvements.

Qualifikationen

• Bachelor's degree in CS/CE/Software Eng or equivalent experience.
• 3+ years of professional software development experience.
• Strong problem-solving and communication skills for technical and non-technical stakeholders.
• Experience deploying AI/ML models as services; familiarity with model training, inference, deployment.
• Based in the EMEA region and eligible to work without visa sponsorship; background check required.

Aufgaben

• Engage with customers to explain capabilities and deliver proof-of-concept solutions.
• Troubleshoot complex customer issues across config, performance, and code.
• Investigate root causes via logs, scripting, and remote access.
• Collaborate with engineering, sales, support, and product to deliver solutions.
• Create and share technical documentation and enablement materials.

Kenntnisse

3+ years software development

Problem solving

Communication

Customer-facing

Ausbildung

Bachelor's degree in CS/CE/Software Eng

Tools

Docker

Linux

MySQL

PostgreSQL

MongoDB

Django

Flask

PyTorch

React

Node.js

Jobbeschreibung

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Forward Deployed Engineer based in Switzerland.

This is an opportunity to work at the intersection of software engineering, AI infrastructure, and customer success in a fast-growing cloud environment. You’ll partner directly with customers to solve complex technical challenges and help them successfully adopt and scale AI workloads. The role combines hands‑on engineering with customer‑facing responsibilities, including architecture guidance, proof‑of‑concept development, troubleshooting, and technical enablement. You’ll work closely with sales, support, product, infrastructure, and engineering teams to turn customer needs into practical solutions and product improvements. Your work will directly influence customer satisfaction, operational efficiency, and the evolution of the platform. The environment is remote‑first, highly collaborative, and designed for people who take ownership and move quickly.

Accountabilities

• Participate in customer and sales meetings, explain technical capabilities, provide architectural recommendations, and develop proof‑of‑concept solutions to support the onboarding of high‑value customers.
• Troubleshoot and resolve complex or critical customer issues involving configuration, performance, functionality, compatibility, and code‑related problems.
• Investigate technical issues using code analysis, scripting, log analysis, remote access, and other diagnostic techniques to identify root causes and implement effective solutions or workarounds.
• Collaborate closely with customers and internal teams across engineering, sales, support, supply, product, and infrastructure to resolve challenges and deliver a seamless customer experience.
• Support the resolution of escalated technical tickets, working with engineering on workarounds and bug fixes and with infrastructure teams on GPU server and related infrastructure issues.
• Capture and communicate customer feedback and recurring technical challenges to help engineering and product teams prioritize meaningful platform improvements.
• Contribute to product development and testing by bringing real‑world customer insights into technical and product decisions.
• Create and maintain technical documentation, including knowledge base articles, FAQs, guides, and manuals.
• Develop and deliver technical training sessions, webinars, demonstrations, and enablement materials for customers, partners, and internal teams.

Requirements

• Bachelor’s degree in Computer Science, Computer Engineering, Software Engineering, Information Technology, or a related discipline, or equivalent professional experience.
• 3+ years of professional software development experience.
• Strong problem‑solving skills, with the ability to investigate complex technical issues and translate them into practical solutions.
• Familiarity with applied AI use cases such as model inference, fine‑tuning, LLM‑based applications, or agentic systems.
• Strong communication and interpersonal skills, with the ability to explain complex technical concepts clearly to both technical and non‑technical stakeholders.
• Excellent attention to detail and a collaborative, customer‑oriented approach.
• Proficiency in Python, with experience in frameworks or libraries such as Django, Flask, or PyTorch; familiarity with JavaScript/React/Node.js and Go is a strong advantage.
• Hands‑on experience with Linux/Ubuntu, Docker, SQL databases such as MySQL or PostgreSQL, and NoSQL databases such as MongoDB.
• Understanding of server hardware, networking, data center infrastructure, and common protocols including TCP/IP, HTTP/HTTPS, SSH, and DNS.
• Experience deploying and managing AI/ML models as services or APIs, with a solid understanding of model training, inference, and deployment workflows.
• Ability to write and execute scripts, queries, and commands and confidently interpret code, logs, errors, and traces.
• Must be based in the EMEA region and eligible to work without employment visa sponsorship.
• Successful completion of a background check.

Benefits

• Competitive base salary ranging from $100,000 to $180,000 USD or the equivalent in local currency, with the final range determined based on experience, qualifications, career level, and location.
• Meaningful equity through stock options, allowing employees to share in the value created by the company’s growth.
• Flexible paid time off to support rest, personal needs, and sustainable performance.
• Remote‑first working environment with an inclusive and collaborative global team.
• Flexible communication and collaboration through primarily asynchronous workflows and Slack‑based internal communication.
• Opportunity to work on cutting‑edge AI infrastructure alongside a passionate, technically ambitious team.
• Strong culture of ownership, learning, collaboration, and meaningful impact.
• $1,200 home office and equipment stipend to help create an effective and comfortable remote workspace.