Senior Software Engineer Architect

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: TYPE OF WORK

Full Time

: SALARY

1600

: HOURS PER WEEK

60

: DATE UPDATED

Mar 20, 2026

JOB OVERVIEW

???? Senior AI / Machine Learning Engineer (Computer Vision + LLM Systems)
Company: Quicklotz (US-based, high-growth tech + logistics)
Role Type: Full-Time (Remote)
Location: Philippines (Remote)
Compensation: Competitive + performance bonuses

???? About the Role:
We are building AI-powered infrastructure to automate large-scale logistics, refurbishment, and resale operations.
This includes:
Computer vision systems for product identification + grading
LLM-powered pipelines for listing generation, classification, and automation
Data pipelines for real-time pricing + market intelligence
Internal AI tools integrated into warehouse workflows
You will work directly with the CTO to design and deploy real-world AI systems at scale.

?? Core Tech + Focus Areas:
Languages: Python, TypeScript
AI/ML: PyTorch, TensorFlow (preferred PyTorch)
LLMs: OpenAI, Claude, local/open-source models
Computer Vision: OpenCV, YOLO, object detection pipelines
Model Handling: weights, checkpoints, fine-tuning, inference optimization
Data: PostgreSQL, vector databases (optional)
Infra: Docker, GPU environments, VPS/cloud

???? Responsibilities:
Build and deploy computer vision models (object detection, classification)
Fine-tune and optimize ML/LLM models for production use
Work with model weights, checkpoints, and training pipelines
Develop AI-driven automation systems (classification, pricing, listing generation)
Design data pipelines for training + inference
Optimize performance for real-time or batch processing

? Requirements:
Strong experience with Python and ML frameworks (PyTorch preferred)
Experience with computer vision (YOLO, OpenCV, etc.)
Understanding of:
Model weights / checkpoints
Fine-tuning workflows
Training vs inference pipelines
Experience deploying models into production environments
Ability to work independently and solve complex problems

???? Bonus (High Value):
Experience with LLM fine-tuning / prompt pipelines
Experience with multi-modal systems (vision + LLM)
Experience with dataset labeling / annotation pipelines
Experience with GPU optimization (CUDA, batching, inference speed)
Experience with anti-bot scraping or large-scale data ingestion

???? Do NOT Apply If:
You’ve only used ChatGPT APIs without understanding models
You cannot explain how training, fine-tuning, or inference works
You don’t have hands-on ML project experience

???? What You Get:
Work on real AI systems tied to $25M+ operations
Direct access to leadership + fast execution environment
Ownership of core AI infrastructure
Long-term growth + performance incentives

???? How to Apply:
Send:
GitHub / portfolio (REQUIRED)
2–3 AI/ML projects (with details on what you built)
Short Loom (2–3 mins):
Explain a model you’ve worked on
How you handled training / fine-tuning
A challenge you solved
Subject Line: AI Engineer Application – [Your Name]

???? Screening Question (MANDATORY)
Include this in your application:
Explain the difference between training, fine-tuning, and inference.
Also explain what “model weights” are in simple terms.

???? Final Note:
We are not looking for prompt engineers.
We are looking for engineers who understand models, data, and systems.

SKILL REQUIREMENT

Typescript Machine Learning Artificial Intelligence

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Senior Software Engineer Architect

Please login or register as jobseeker to apply for this job.

TYPE OF WORK

SALARY

HOURS PER WEEK

DATE UPDATED

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