Selfinspection

🌟 About SelfInspection

SelfInspection is an AI-driven vehicle inspection platform helping leasing companies, fleets, and financial institutions automate damage assessment and reporting.

We’re modernizing our frontend architecture and building scalable, modular React applications that power real-time inspection workflows and complex admin systems.

We’re looking for a Senior Frontend Engineer who can take ownership of the product experience — not just build screens.

🧠 What You’ll Do

• Build scalable frontend applications using React
• Work with Webpack-based micro-frontend architecture
• Implement state management using MobX
• Build SSR and performance-optimized pages using Next.js
• Contribute to and evolve our Design System
• Translate product requirements into clean, scalable UI architecture
• Own features end-to-end (from concept to production)
• Improve performance, bundle size, and maintainability
• Collaborate closely with backend, QA, AI, and product teams
• Help shape frontend architecture decisions

🏗 Tech Stack

• React (5+ years required)
• Next.js
• Webpack
• MobX
• TypeScript
• Design Systems / Component Libraries
• REST APIs
• AWS environment

✅ Requirements

• 5+ years of professional frontend experience
• Strong expertise in React
• Deep understanding of Webpack
• Experience with MobX or advanced state management
• Experience building or maintaining Design Systems
• Strong understanding of performance optimization
• Ability to work independently in a fast-paced startup environment
• Strong ownership mindset
• Product-oriented thinking (not just task execution)

💎 Nice to Have

• Experience with micro-frontends
• Experience in SaaS or B2B platforms
• Experience building complex dashboards or workflow-based UIs
• Strong UX sensitivity and attention to detail
• Experience improving legacy frontend systems

🔥 Who We’re Looking For

We want someone who:

• Is highly motivated and driven
• Thrives in fast-paced environments
• Takes responsibility for the product, not just the code
• Can identify problems and propose solutions
• Thinks long-term about maintainability and scalability
• Cares about quality

💼 What We Offer

• Ownership over meaningful product areas
• Influence on architecture decisions
• Startup speed + real customers
• Flexible work environment
• Competitive compensation

🌟 About SelfInspection

SelfInspection is a fast-growing AI-driven vehicle inspection platform transforming how leasing companies, fleets, and financial institutions process vehicle damage assessments.

We combine computer vision, automation, and modern cloud architecture to deliver scalable and intelligent inspection workflows.

We are building a robust, event-driven backend system — and we’re looking for a strong Senior Backend Engineer to help us scale it properly.

🧠 What You’ll Do

• Design and build scalable microservices using NestJS (TypeScript)
• Architect and maintain event-driven systems using Kafka / RabbitMQ
• Design clean domain-driven services (inspection flows, reports, billing, notifications)
• Work with PostgreSQL (schema design, optimization, migrations)
• Improve system reliability, observability, and performance
• Participate in architectural decisions (modular monolith vs microservices boundaries)
• Collaborate closely with frontend, QA, and AI teams
• Write clean, testable, production-ready code
• Help improve CI/CD and deployment pipelines (AWS environment)

🏗 Tech Stack

• Backend: NestJS (TypeScript)
• Architecture: Microservices, Event-Driven
• Messaging: Kafka and/or RabbitMQ
• Database: PostgreSQL
• Cloud: AWS
• Containerization: Docker
• CI/CD: GitHub Actions (or similar)
• APIs: REST (future: gRPC)

✅ Requirements

• 5+ years of backend development experience
• Strong experience with microservices architecture
• Hands-on experience with event-driven systems (Kafka or RabbitMQ)
• Deep knowledge of NestJS or Node.js backend frameworks
• Strong experience with PostgreSQL (indexes, performance tuning, transactions)
• Understanding of distributed systems challenges (idempotency, retries, eventual consistency)
• Experience designing APIs and maintaining clean contracts
• Startup mindset: ownership, autonomy, speed

🎯 Nice to Have

• Experience with Domain-Driven Design (DDD)
• Experience with inspection, insurance, fintech, or fleet systems
• Familiarity with Kubernetes
• Experience building high-throughput systems
• Knowledge of AI/ML service integrations

💼 What We Offer

• Work on a real AI product with global customers
• Strong technical ownership
• Fast-paced startup culture
• Flexible work schedule
• Competitive compensation
• Opportunity to shape architecture decisions

💡 Who Will Thrive Here

Someone who:

• Thinks in systems, not just endpoints
• Cares about architecture quality
• Can balance speed and correctness
• Takes ownership instead of waiting for tickets

About the Role:

As a Computer Vision Engineer, you will play a key role in our AI team, designing and building solutions that make legal collaboration seamless and accessible. You will work on a cutting-edge product that leverages computer vision and other advanced AI techniques to support the automotive industry. Our platform, SelfInspection, enables automated vehicle inspections. Users capture photos of a vehicle's exterior, interior, and tires, which are then analyzed by our AI and experts to generate detailed condition reports. The first version of the product is live, and we are actively developing its second iteration.

Responsibilities:
 

• Train, evaluate, and deploy computer vision models for tasks such as instance segmentation, object detection, classification, and tracking
• Improve and optimize existing computer vision models
• Prepare high-quality training datasets using annotated data provided by the annotation team
• Stay current with advancements in the computer vision field to ensure the use of efficient and modern approaches
• Collaborate with C-level stakeholders to define technical requirements and specifications for new features
   

Qualifications:
 

• Minimum of 5 years of hands-on experience in machine learning, computer vision, or a closely related field
• Proven experience in training, evaluating, and optimizing deep learning models for production environments
• Strong background in data collection, preprocessing, augmentation, and annotation workflows
• Bachelor's, Master’s, or Ph.D. degree in Computer Science, Electrical Engineering, Mathematics, or a related discipline (preferred but not required)
   

Skills:
 

• Hands-on experience with deep learning frameworks, particularly PyTorch and/or TensorFlow
• Deep understanding of convolutional neural networks (CNNs), transformers, and core computer vision tasks such as image classification, object detection, segmentation, and tracking
• Proficiency with scientific and image processing libraries such as NumPy, OpenCV, and scikit-learn
• Familiarity with model deployment techniques (e.g., ONNX, TensorRT, TorchScript, TensorFlow Lite) and performance optimization strategies
• Strong problem-solving skills and the ability to decompose complex vision tasks into modular components
• Excellent communication and collaboration skills across both technical and non-technical teams
   

Will be a Plus:
 

• Interest in prototyping and experimenting with new computer vision techniques
• Experience designing AI products from the ground up, with a solid understanding of AI system architecture
   

Required languages
EnglishA2 - Elementary