AI Acquisition

AI Acquisition presents itself as an AI-powered growth platform and business consulting company that helps entrepreneurs build and grow AI-powered businesses. Its site describes the product as an operating system for business functions such as idea generation, web presence, lead generation, customer acquisition, sales, and client management, powered by agentic AI and multi-agent tools.

Business Consulting and Services
51-200

Description

  • Act as the primary implementation partner working directly in a production codebase.
  • Own the building, engineering, and deployment of full-stack system features.
  • Design, implement, and submit clean pull requests for review.
  • Build and maintain machine learning pipelines, including training data preparation, fine-tuning scripts, and system evaluations.
  • Write raw PostgreSQL schemas, complex queries, and data migrations.
  • Develop, scale, and optimize high-throughput model inference and custom voice pipelines.
  • Decompose feature briefs into technical tasks and propose structural architectures.
  • Autonomously diagnose and resolve backend production bugs.
  • Support full data tracing from the database to the user interface.
  • Contribute to voice AI and ML infrastructure pipelines.

Requirements

  • 3+ years of production experience with strict TypeScript/JavaScript, including generics, type inference, and discriminated unions.
  • Production React experience with ownership of live web applications.
  • Deep familiarity with Next.js App Router, including server and client components, middleware, and route handlers.
  • Strong SQL fluency with raw PostgreSQL and no ORM dependency.
  • Python proficiency tied to data preparation, training, and evaluation for machine learning pipelines.
  • Strict Git workflow discipline with clean commits and strong code review habits.
  • Familiarity with ML infrastructure frameworks through personal projects, fine-tuning experiments, or coursework.
  • Strong independent research skills to learn unfamiliar stacks and specialized domains without hand-holding.
  • Excellent written English communication skills for documentation, code reviews, and technical notes.
  • High technical agency and meticulous attention to detail when working from ambiguous briefs.
  • Hands-on experience with PyTorch and Hugging Face model fine-tuning, including PEFT/LoRA and Transformers library is preferred.
  • Voice or speech ML engineering background, including STT, TTS, or end-to-end voice pipeline tuning is preferred.
  • GPU infrastructure management experience, including self-hosted GPU servers, CUDA, and resource monitoring is preferred.
  • Front-end data visualization expertise with Tailwind CSS, Radix primitives, and dashboard charting is preferred.
  • Automated document report generation experience for PDF, Excel, or Word exports is preferred.
  • DevOps exposure, including Docker, multi-stage builds, and CI/CD pipelines is preferred.
  • Prior exposure to capital construction, industrial software, or engineering project controls is preferred.
  • Availability to work 25–40 hours per week.
  • Timezone alignment with EST or CST.

Benefits

  • Fully remote work flexibility.
  • Open compensation.
  • Direct impact on active enterprise capital construction programs.
  • Opportunity to fine-tune LLMs and build real voice pipelines on production systems.
  • Hands-on experience with GPU inference server clusters.
  • Exposure to a specialized, high-value industrial domain.
  • Work in a modern stack with minimal bureaucracy and no management layers.

Interested in this position?

Apply directly on the company website

Apply Now

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