Forward Deployed Engineer
About The Position
4MINDS is an enterprise AI fine-tuning platform that helps organizations build and operate private, domain-specific AI. Its platform learns continuously from live data and can be deployed on-premises or through a cloud provider. The company’s automated data pipeline and proprietary knowledge graph connect enterprise data sources, including Microsoft, Databricks, AWS, and Google. The Forward Deployed Engineer works at the intersection of engineering, AI, and live customer systems. This hands-on, field-facing role partners directly with enterprise clients to deploy, debug, and optimize the 4MINDS LLM training platform. The engineer writes code, diagnoses live issues, builds integrations, tunes models, and translates operational insights into product improvements. The position reports to the VP of Solutions Engineering. This is a remote position requiring travel to customer sites 50% of the time. The role includes access to local coworking space and references a modern Dallas office with standing desks and ergonomic equipment.
Requirements
- Bachelor of Science in Computer Science, Engineering, or a related technical field.
- At least 3 years of experience in a technical customer-facing implementation role.
- At least 5 years of software engineering experience.
- Strong experience with AI/LLM pipelines and open-source models, including prompting, orchestration, or model tuning.
- Strong proficiency in Python, Node.js, or TypeScript.
- Ability to build integrations and debug live systems.
- Experience with real-time APIs, WebRTC, or streaming systems.
- Clear technical communication skills and ability to work directly with customer teams under time pressure.
- Comfort working in high-stakes production environments where reliability and speed matter.
- Ownership mindset focused on outcomes.
Nice To Haves
- Master of Science in Computer Science, Engineering, or a related technical field.
- Expertise in AI/LLM pipelines, including prompting, orchestration, or model tuning.
- At least 5 years of enterprise technical implementation experience.
- At least 8 years of software engineering experience.
- Expert proficiency in Python, Node.js, or TypeScript.
- Previous enterprise experience implementing new technologies.
- Passion and desire to work with clients to deliver impact on their businesses.
Responsibilities
- Partner with customers from presales through onboarding and production to ensure the platform delivers new models for clients.
- Debug, tune, and optimize real-time LLM development pipelines for clients.
- Build and maintain lightweight integrations, automations, and scripts connecting customer systems, such as TMS, CRMs, and APIs, to the AI stack.
- Work with core engineering and product teams to reproduce, isolate, and rapidly resolve field issues.
- Develop deployment playbooks and reusable frameworks to 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 technical and non-technical stakeholders.
- Ship quickly, iterate aggressively, and take ownership of deployments.
Benefits
- Competitive equity package in a venture-backed startup.
- Performance-based bonus structure.
- Annual merit-based salary reviews.
- ISO stock options, including a sign-on bonus and annual refreshers.
- Comprehensive medical, dental, and vision coverage, 80% employer-paid.
- 401(k) plan.
- Unlimited PTO policy with a 15-day minimum.
- 11 paid company holidays.
- Flexible Spending Account (FSA) and Health Savings Account (HSA) options.
- Annual training and certification budget.
- Access to online learning platforms.
- Conference attendance opportunities.
- Regular internal technical workshops and knowledge-sharing sessions.
- Access to local coworking space.
- High-performance workstations.
- Monthly team events and learning sessions.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
