Lovable Series A

Forward Deployed Engineer

Stockholm On-site $150K-$200K Entry (0-2 yrs) Added Jun 16

About the role

Handshake seeks a Forward Deployed Engineer to work directly with AI research labs, identifying technical challenges and designing deployment solutions that impact customer workflows and model performance. Key Responsibilities: Partner with AI labs and internal teams to gather requirements and design effective solutions; rapidly prototype, test, and iterate on custom tools addressing unique challenges; own delivery from concept through production deployment; contribute to architectural decisions for reliability and scalability; document solutions and create technical playbooks for repeatable processes. Required Qualifications: 2-4 years professional software engineering experience; proficiency in ReactJS and TypeScript; understanding of relational databases (PostgreSQL) and data modeling; familiarity with cloud infrastructure (AWS, GCP) and deployment pipelines; strong communication across technical and non-technical stakeholders; ability to thrive in fast-paced, dynamic environments. Preferred Experience: production systems for LLMs or AI-powered products; component libraries and design systems; frontend/full-stack performance optimization. Compensation: $150K-$200K annually. Location: San Francisco, CA (5 days/week in-office). Benefits: equity, 401(k) match, wellness stipend, flexible PTO, comprehensive health benefits.

Industry

Developer Tools - AI App Builder (Vibe Coding)

Top skills for this role

  • Full-stack engineering with ReactJS/TypeScript
  • direct customer engagement and rapid prototyping
  • architectural thinking and system reliability

Languages

TypeScript

Frameworks & tools

ReactJSPostgreSQLAWSGCPdeployment pipelines

AI / ML skills

Experience delivering production systems for LLMs or AI-powered products (preferred)

Customer skills

Direct customer interaction and solution deployment, cross-functional collaboration across technical and non-technical stakeholders, requirements gathering

Domain knowledge

Data modeling, component libraries and design systems, frontend performance optimization

Travel: no
Equity: yes

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