Client Senior Technical Developer

# Client Senior Technical DeveloperAI AcquisitionRemote (Philippines)ContractAI tools:PyTorchHugging FaceCUDAUpload your resume once and Scout applies for youApply with ScoutShare this job:LinkedInXSave imageYou’ll build full-stack features for a production project controls platform used by major capital construction programs. The role also owns ML infrastructure work, including fine-tuning, model evaluation, inference optimization, and voice pipelines, in close collaboration with the founder.
* Contract
* Fully Remote
* 3+ years### Skills and expertiseTypeScriptReactNext.jsPostgreSQLPythonPyTorchHugging FaceCUDA###

Key responsibilities
* Build, deploy, and maintain full-stack features in a production codebase.
* Develop machine learning pipelines for training data, fine-tuning, and system evaluation.
* Optimize model inference and develop custom speech-to-text and text-to-speech pipelines.## How this job comparesCompared with 410 open senior machine learning jobs on October 10, 2026.
Similar open jobs: We Love AI Jobs lists 410 open senior machine learning jobs at 176 companies.
Remote work: This job is remote. 90 of the 410 senior machine learning jobs (22%) are remote.
AI in this role: High. AI is the core of the work: building, training or deploying AI systems. The role explicitly owns ML pipelines, fine-tuned LLMs, model evaluations, inference, and voice AI infrastructure. These are core responsibilities alongside full-stack development.## Full descriptionDescriptionThe OpportunityWe are hiring a highly execution-focused Senior Technical Developer (Contract) to own the technical and systems layer of an enterprise project controls platform. Our software replaces the messy spreadsheet-and-email toolchain that dominates megaproject oversight with a single production-live system serving major capital construction programs. Because our data directly informs client decisions worth millions of dollars, absolute data accuracy and system reliability are core table stakes.
This role is ideal for an implementation partner with expert-level TypeScript and React fundamentals who wants to step directly into a production codebase and build out real-world ML/AI infrastructure (including fine-tuned LLMs and voice interactive pipelines)—not just wrap basic APIs. You will work directly with the founder in an environment completely free of ticket theater and management layers.
• Work Model: Remote | Contract
• Time Commitment: 25–40 hours / week
• Timezone Requirement: EST/CST
• Compensation: OpenWhat You’ll Own
• 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.
RequirementsExperience
• 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).
Skills
• 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 the gaps given an ambiguous brief, proposing sensible fallback paths independently.
• Meticulous attention to detail: you test your own edge cases and ensure 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). #J-18808-Ljbffr