Forward Deployed Engineer

4MindsAI develops an enterprise AI fine-tuning platform for private, domain-specific AI. The Forward Deployed Engineer works directly with enterprise clients to deploy, debug, and optimize the platform, build integrations, and translate customer operations into product improvements.

Responsibilities:

• Partner directly with customers, from presales through onboarding and production, to ensure the 4Minds platform delivers new models for our clients
• Debug, tune, and optimize real-time LLM development pipelines for clients
• Build and maintain lightweight integrations, automations, and scripts connecting customer systems (TMS, CRMs, APIs) to our AI stack
• Work closely with core engineering and product teams to reproduce, isolate, and resolve field issues rapidly
• Develop deployment playbooks and reusable frameworks that make future rollouts faster and more reliable
• Surface insights and edge cases from customer operations to inform model tuning, UX design, and roadmap priorities
• Represent engineering in the field and communicate clearly with both technical and non-technical stakeholders
• Ship quickly, iterate aggressively, and own every deployment like it’s your own product

Requirements:

• BS in Computer Science, Engineer, or related technical field
• 3+ years in technical customer interfacing implementation role
• 5+ years in software engineering
• Strong experience with AI/LLM pipelines and open-source models including prompting, orchestration, or model tuning
• Strong proficiency in Python, Node.js, or TypeScript
• Able to build integrations and debug live systems
• Experience with real-time APIs, WebRTC, or streaming systems
• Clear technical communication and ability to work directly with customer teams under time pressure
• Comfort working in high-stakes, production environments where reliability and speed matter
• Deep ownership mindset: you care about outcomes, not job titles
• MS in Computer Science, Engineer, or related technical field
• Expertise in working with AI/LLM pipelines including prompting, orchestration, or model tuning
• 5+ years in enterprise technical implementation roles
• 8+ years in software engineering
• Expert proficiency in Python, Node.js, or TypeScript
• Able to build integrations and debug live systems
• Previous Enterprise experience implementing new technologies
• Passion and Desire to work with clients to deliver impact on their businesses