Senior Full Stack Developer

About BlackEdge Labs

BlackEdge Labs is the technology and innovation arm of BlackEdge, a growing publicly traded financial group operating across mortgages, payments, and corporate financing.

We build the software, data, AI, and digital platforms that support the Group’s operations, growth, and future financial solutions, combining deep technological expertise with a practical, business-oriented approach.

About the role

We’re looking for a Senior Full Stack Developer to join BlackEdge Labs and build web applications, APIs, and digital platforms that run in production across the Group.

The role is centered on end-to-end product engineering: designing and shipping complete features from UI through backend to deployment, building the services and integrations behind our mortgage, payments, and corporate financing operations, and working in an AI-assisted engineering lifecycle in which coding agents are a core part of how we build software.

Experience building LLM-powered features is a strong advantage. We are embedding AI capabilities — structured extraction, assistants, and agentic workflows — into our products, and we want developers who can take them from prototype to production.

This is a hands-on, applied engineering role - you’ll write production Python and TypeScript, own features end-to-end, and set the standard for how software is built across our engineering teams.

What you’ll be doing

• Designing, building, and deploying full stack features — from React/TypeScript frontends through Python/FastAPI backends to Azure deployment.
• Building scalable, resilient, and secure APIs and event-driven backend services, with the observability and auditability required in a regulated financial environment.
• Owning product features end-to-end — from requirements and technical design through implementation, code review, testing, and production rollout — using AI coding agents throughout the workflow.
• Integrating LLM-powered capabilities into our products where they add value — structured extraction, assistants, and agentic workflows — and taking them from prototype to production.
• Leading technical design reviews and architectural decisions for web applications and distributed systems.
• Working closely with Product and business stakeholders to translate requirements into well-scoped, shippable solutions.
• Improving our engineering practices — CI/CD, automated testing, code quality, and standards for reviewing, testing, and securing AI-generated code.
• Mentoring engineers on effective and responsible use of AI throughout the development process.

What you’ll need

• 4–5 years of hands-on full stack software engineering experience, with production ownership of both frontend and backend.
• Strong proficiency in Python and experience building scalable, resilient, and secure APIs and services (FastAPI or similar).
• Strong proficiency in TypeScript/JavaScript and a modern frontend framework (React preferred), including component design, state management, and performance.
• Solid experience with relational databases (PostgreSQL or similar) - data modeling, query optimization, and migrations.
• Working knowledge of asynchronous processing, event-driven architectures, and cloud/DevOps practices (CI/CD, Infrastructure as Code, monitoring), preferably on Azure.
• Experience writing automated tests (unit, integration, end-to-end) and delivering through a CI/CD-driven process.
• Hands-on experience using AI coding agents (Claude Code, Cursor, GitHub Copilot) in production codebases, including reviewing and correcting AI-generated code.
• Strong security and compliance awareness — authentication and authorization, PII handling, secrets management, and auditability.
• Strong problem-solving, ownership, and communication skills, with the ability to lead technical discussions with technical and business stakeholders.
• Strong communication skills in Hebrew and English.

Nice to have

• Experience with LLM and AI engineering is a strong advantage:
• Production experience with LLM APIs (Azure OpenAI, OpenAI, Anthropic, or similar): tool calling, structured outputs, prompt design, and cost and latency optimization.
• Hands-on experience building agents with LangGraph, Semantic Kernel, or a similar agent framework.
• Experience designing RAG pipelines — chunking, embeddings, vector search (pgvector, Azure AI Search, or similar), and retrieval quality tuning.
• Experience evaluating LLM systems — building eval sets, measuring output quality, and catching regressions before production.
• Experience with MCP, multi-agent systems, or building internal developer tooling, SDKs, or coding-agent skills and plugins.
• Experience with Elasticsearch and message brokers such as Azure Service Bus.
• Experience with Azure Functions, Container Apps, and Terraform.
• Experience in FinTech, lending, real estate underwriting, or another regulated environment.

This is a full-time, office-based position at our Tel Aviv office. The position is open to candidates of all genders.

Ready to build the products and platforms that shape how a growing publicly traded financial group operates — and bring AI into them along the way? We’d love to meet you.