Founding AI Engineer

MLDeep Systems; United States; Remote; USD 140,000 - 210,000; Full time

Benefits offered by this job

Equity stake

Direct access to founder

Premium AI tooling subscriptions

Remote-first work arrangement

Opportunity to shape growing org

Job summary

MLDeep Systems is seeking a founding-level engineer to turn repeated client work into reusable software. You will own end-to-end AI products, from data pipelines to user interfaces, and build scalable systems with production-grade quality.

As the first dedicated product engineer, you will shape architecture, pick technology, and collaborate directly with the founder. Remote-first role with equity and significant impact on a growing company.

Qualifications

• Shipping LLM or AI products to production with demonstrable examples.
• Fluent in JavaScript/TypeScript and Python across full stack.
• Carefully engineered, maintainable code with ownership.

Responsibilities

• Own full lifecycle of internal products from idea through deployment and maintenance.
• Build end-to-end AI products spanning data pipelines, models, backends, and user interfaces.
• Identify recurring patterns across client engagements and decide which are worth turning into software.
• Ship production-grade systems, not prototypes, and take responsibility when things break.
• Integrate with the SaaS and AI tooling that customers already rely on.
• Set and uphold the technical bar for how products are designed, documented, and maintained.

Skills

LLM/AI product shipping

Full-stack JS/TS & Python

Ownership mindset

Proactive learner

Impact-focused

Job description

Role overview

A founding engineering seat on a small AI and data consultancy that helps funded startups move from AI concepts to production systems. This is the first dedicated product engineering hire, responsible for turning repeated client work into reusable software that ships, runs reliably, and scales beyond any single engagement.

Responsibilities

• Own the full lifecycle of internal products, from initial idea through production deployment and ongoing maintenance
• Build end-to-end AI products spanning data pipelines, models, backend services, and user-facing interfaces
• Identify recurring patterns across client engagements and decide which are worth turning into software
• Ship production-grade systems, not prototypes, and take responsibility when things break
• Integrate with the SaaS and AI tooling that customers already rely on
• Set and uphold the technical bar for how products are designed, documented, and maintained

Requirements

• Track record of shipping LLM or AI products to production, with examples that can be reviewed
• Full-stack fluency across JavaScript or TypeScript and Python, comfortable working from data layer to user interface
• A long-term engineering mindset: documented, maintainable, owned code rather than clever-but-fragile work
• Strong sense of ownership with the ability to identify what matters next without waiting for a ticket
• Willingness to learn quickly in a field that shifts month to month
• Drive to do high-caliber work in an environment that rewards impact

Nice to have

• Experience operating in early-stage or founding engineering roles where ambiguity is the norm
• Comfort owning architecture decisions independently rather than receiving them from above

Benefits and work setup

• Founding-level role with meaningful equity, discussed directly on the call
• Direct line to the founder with no management layer between the engineer and key decisions
• Premium AI tooling subscriptions provided
• Remote-first work, evaluated on shipped output rather than hours logged
• Opportunity to help shape a growing organization and grow with it