Senior Technical Developer

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The Growth Partner

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2022

🤖 Artificial Intelligence

🤝 B2B

☁️ SaaS

Artificial Intelligence • B2B • SaaS

The Growth Partner is a company dedicated to helping entrepreneurs successfully build and scale AI-powered businesses. They provide a proven system that simplifies the process of launching and growing AI ventures, offering one-on-one collaboration and guidance to over 1,200 clients. Through their strategies, clients have reported significant revenues, averaging $18,105 per month, as the company focuses on streamlining business operations with AI technologies to improve efficiency and profitability.

📋 Description

• 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.

🎯 Requirements

• 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; you must have 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).

🏖️ Benefits

• Fully remote flexibility across global talent pools. • Direct impact on enterprise assets: Your code directly influences active capital construction programs worth millions of dollars. • Production ML experience: Opportunity to fine-tune LLMs, build real voice pipelines, and manage GPU inference server clusters on actual running systems, not simple demo tools. • Specialized domain depth: Gain high-value expertise in a specialized, multi-billion dollar industrial sector that most developers never get to touch. • Modern, zero-bloat stack: Build with fresh, current tools applied to complex engineering problems without corporate ticket theater or management bottlenecks.