Client Senior Technical Developer

AI Acquisition is an AI platform that operates globally, primarily in the US market, combining Platform-as-a-Service (PaaS) and an AI marketplace to connect AI agencies with enterprise opportunities. The company provides systems, training, and support to help entrepreneurs build AI-driven businesses and achieve rapid success.

• 3+ years of production experience with strict TypeScript/JavaScript (generics, type inference, discriminated unions).
• Production React experience with clear ownership over shipping and maintaining real, live web applications.
• Next.js App Router literacy, demonstrating deep familiarity with server vs. client components, middleware, and route handlers.
• SQL fluency with raw PostgreSQL; zero dependency on an ORM.
• Python proficiency explicitly tied to data preparation, training, and evaluation for machine learning pipelines.
• Strict Git workflow discipline, maintaining clean commits and structural code review habits.
• Familiarity or deep learning trajectory inside ML infrastructure frameworks (personal projects, fine-tuning experiments, or coursework).
• Strong independent research skills to learn unfamiliar technical stacks and specialized domains without hand-holding.
• Excellent written English communication skills for documentation, thorough code reviews, and technical notes.
• High technical agency to fill gaps given ambiguous briefs, proposing sensible fallback paths independently.
• Meticulous attention to detail, testing edge cases and ensuring work is right the first time.

Nice to have:

• Hands-on PyTorch and Hugging Face model fine-tuning (PEFT/LoRA, Transformers library).
• Voice/speech ML engineering background (STT, TTS, or end-to-end voice pipeline tuning).
• GPU infrastructure management capabilities (self-hosted GPU servers, CUDA, resource monitoring).
• Front-end data visualization expertise (Tailwind CSS, Radix unstyled primitives, complex dashboard trend charting).
• Automated document report generation systems (PDF, Excel, Word exports).
• DevOps exposure: Docker containerization, multi-stage builds, and automated CI/CD pipelines.
• Prior domain exposure to capital construction, industrial software, or engineering project controls.

• Act as the primary implementation partner working directly in a production codebase.
• Own the building, engineering, and feature deployment of full-stack system features.
• Design, implement, and submit clean Pull Requests (PRs) for review.
• Build and maintain robust machine learning pipelines, covering training data preparation, fine-tuning scripts, and system evaluations.
• Write complex raw PostgreSQL database schemas, queries (CTEs, window functions), and data migrations.
• Develop, scale, and optimize high-throughput model inference steps and custom voice pipelines (STT/TTS).
• Decompose feature briefs, propose structural technical architectures, and autonomously resolve backend production bugs.