Improveit Solutions

A leading UK-based financial services company in the medical and dentistry sectors is hiring a Lead–Senior PHP Software Engineer to join their core Automatic Lending Platform (ALP) team.

The platform powers automated lending, loan management, payment processing, and integrations with credit bureaus, lenders, and payment providers. This is a full-stack role with a strong focus on backend PHP development, working on a mature, mission-critical financial system.

The engineering team follows an AI-forward approach, actively using tools like GitHub Copilot, Claude, and Cursor to accelerate development, while maintaining high standards for security, correctness, and code quality.

Responsibilities

• Develop and maintain features across automated decisioning, loan management, and payment processing
• Build integrations with credit reference agencies (TransUnion, Equifax), lenders, and payment gateways
• Implement automated workflows using event-driven architecture and decision engines
• Work with multi-tenant systems, ensuring data isolation and security
• Optimize database queries and caching for performance and scalability
• Contribute to REST API development for internal and external integrations
• Write and maintain unit and functional tests (Codeception)
• Participate in AI-assisted code reviews
• Debug production issues involving financial transactions and third-party integrations
   
• Required Skills & Experience
• 3+ years of PHP experience (PHP 8.1+)
• Strong hands-on experience with Yii2 (ActiveRecord, components, modules, behaviors)
• Solid understanding of MVC, OOP, modern PHP features
• Strong MySQL skills (complex queries, transactions, indexing, migrations)
• Experience building RESTful APIs and authentication systems (OAuth, API keys, sessions)
• Experience with background job processing / queues
• Understanding of caching strategies (Redis)
• Frontend basics: CSS (Flexbox, Grid), responsive design
• Experience with Git, Docker, and software testing practices
• Ability to work with large, legacy codebases
• Strong debugging skills and critical thinking, especially when reviewing AI-generated code
  
  Nice to Have
• Experience in fintech, lending, or financial services
• Knowledge of Vue.js 3
• Experience with event-driven architectures, rule engines, or workflow systems
• Experience with payment processing, open banking, or credit bureaus
• Experience using AI coding tools (Copilot, Claude, Cursor)
• Experience with CI/CD pipelines, TypeScript, or other PHP frameworks (Laravel, Symfony)
  
   

We are looking for a Senior AI/ML Engineer experienced in multimodal AI pipelines, LLM evaluation frameworks, agent orchestration, and scalable Python backend systems on AWS.

A Korean company is building and hardening an AI verification and compliance layer for AIGC/UGC financial content.

The system includes:

• four evaluation/verification models
• an automated compliance rule engine
• a Trust & Safety moderation pipeline

The core architecture processes video-based content through a multi-stage pipeline:

STT → OCR → image/video analysis → financial rules engine → LLM-based decision layer

Final output decision types:

• Auto-Block
• Auto-Pass
• Human Review

This role requires strong production engineering skills combined with hands-on experience in multimodal LLM evaluation systems.

Required Skills & Experience

• Multimodal LLM evaluation pipeline design
  (LLM-as-a-judge, rubric-based scoring, prompt/few-shot optimization, schema design, agent orchestration)
• Model evaluation engineering
  (golden dataset creation, metric definition: precision/recall/human agreement, A/B testing, benchmarking automation)
• AI serving & inference optimization
  (AWS Bedrock integration, vLLM / GPU inference, latency optimization, cost-aware design, fallback strategies)
• Strong Python backend engineering (~7–10 years)
  (async systems, queues, microservices, service-oriented architecture)
• Trust & Safety / compliance systems
  (rule engines: keyword + context IF-THEN logic, moderation workflows, HITL queues, severity-based escalation)

Nice to Have

• Experience fine-tuning or improving LLM / video understanding models
• Background in content moderation or compliance systems
• Experience with Korean language content processing
  (STT, OCR optimization, NSFW detection pipelines)

Tech Stack

Languages / APIs: Python (FastAPI), React (TypeScript)
LLM / Multimodal: AWS Bedrock, VLMs (e.g. Qwen2.5-Omni), vLLM
Agent frameworks: LangGraph, CrewAI, Google ADK, LangChain
Evaluation: LLM-as-judge, rubric scoring, DeepEval-style eval harnesses
Cloud / Infra: AWS Bedrock, SageMaker, RDS (PostgreSQL), S3, EKS
Observability: Langfuse, prompt testing & tracing tools
Data platform: Databricks
Media processing: Whisper, OCR pipelines, image moderation tools (e.g. AWS Rekognition)