King's Choice

We are looking for an experienced Full Stack Lead who codes daily, leverages Claude Code to accelerate development, leads the team, ensures quality, and builds automated tests for QA.

This is a Claude Code–first position: you will spend most of your time coding, conducting code reviews, collaborating with AI, tracking sprint progress, and leading the team by example.

What You’ll Build

• AI agents for leasing, maintenance, HR, accounting, and marketing.
• Real-time analytics dashboards for multi-property operations.
• End-to-end automation of property management workflows.
• Deep integrations with external services such as Yardi, Zillow, Apartments.com, and others.

Responsibilities

• Write fast, clean, and reliable code.
• Use Claude Code daily to generate structured and production-ready code.
• Review and approve pull requests (frontend + backend).
• Create and maintain automated test suites.
• Mentor developers and manage sprint progress.
• Ensure transparency and accountability at every stage of development.

Experience Requirements

• Django/Python — 4+ years of commercial experience, including Django REST Framework.
• Angular/TypeScript — 3+ years of experience developing complex Angular applications.
• Claude Code — daily usage in production workflows.
• AI Integrations — experience working with OpenAI, Anthropic, or similar APIs.
• API Integrations — strong understanding of REST APIs and webhooks.
• Databases — solid PostgreSQL knowledge (schema design and optimization).

Leadership & Management

• Oversee daily developer activities and sprint progress.
• Conduct code reviews and enforce coding standards.
• Collaborate with QA to ensure automated test coverage.
• Provide technical guidance and help resolve blockers.

Tech Stack

Backend: Django REST Framework, Celery, Redis, PostgreSQL (optimization, complex SQL queries), JWT/OAuth, WebSockets, API versioning.

Frontend: Angular 19 (standalone components, signals, SSR), TypeScript, RxJS, NgRx, SCSS, responsive layouts (CSS Grid, Flexbox), D3.js, Recharts, or Chart.js

AI & Integrations: Full mastery of the Claude Code workflow, APIs: OpenAI, Anthropic Claude, Architecture: RESTful, event-driven, Error handling: retry mechanisms, circuit breakers.

Development Tools: Git/GitLab, Docker, Docker Compose, Testing: pytest, Jest, Karma, Code quality: ESLint, Prettier, SonarQube, Agile methodology.

We are looking for an experienced Full Stack who codes daily, leverages Claude Code to accelerate development, leads the team, ensures quality, and builds automated tests for QA.

This is a Claude Code–first position: you will spend most of your time coding, conducting code reviews, collaborating with AI, tracking sprint progress, and leading the team by example.

What You’ll Build

• AI agents for leasing, maintenance, HR, accounting, and marketing.
• Real-time analytics dashboards for multi-property operations.
• End-to-end automation of property management workflows.
• Deep integrations with external services such as Yardi, Zillow, Apartments.com, and others.

Responsibilities

• Write fast, clean, and reliable code.
• Use Claude Code daily to generate structured and production-ready code.
• Review and approve pull requests (frontend + backend).
• Create and maintain automated test suites.
• Mentor developers and manage sprint progress.
• Ensure transparency and accountability at every stage of development.

Experience Requirements

• Django/Python — 4+ years of commercial experience, including Django REST Framework.
• Angular/TypeScript — 3+ years of experience developing complex Angular applications.
• Claude Code — daily usage in production workflows.
• AI Integrations — experience working with OpenAI, Anthropic, or similar APIs.
• API Integrations — strong understanding of REST APIs and webhooks.
• Databases — solid PostgreSQL knowledge (schema design and optimization).

We’re looking for an AI Engineer with a Data/ML background who has built AI solutions that run in production, not just R&D prototypes.
Our clients include Johnson & Johnson, Nike, and Google (massive data scale and high standards).

Product
An enterprise-grade AI & Data platform for integrating, processing, and analyzing large volumes of heterogeneous data in real time. A Process Intelligence solution (data- & cloud-agnostic) that leverages process mining, knowledge graphs, an agentic ecosystem, and a canvas to optimize processes and proactively propose and simulate improvements by deploying agents into the customer’s system.

Key details:
✓ Role: develop AI services, work closely with backend/data teams, well-structured APIs, production-grade RAG.
✓ Tech stack: (equivalent technologies are fine) Python, FastAPI, GCP (Vertex AI, BigQuery, GKE, Cloud Storage), LangChain, LangGraph, AutoGen, Pinecone.
✓ Team: UK-based product and cross-functional group with PhD-level engineers. 

Requirements:

• 2+ years building AI systems.
• 5+ years in Data Science / Data Engineering / ML.
• Python, FastAPI 

We’re looking for an AI Engineer with a Data/ML background who has built AI solutions that run in production, not just R&D prototypes.
Our clients include Johnson & Johnson, Nike, and Google (massive data scale and high standards).

Product
An enterprise-grade AI & Data platform for integrating, processing, and analyzing large volumes of heterogeneous data in real time. A Process Intelligence solution (data- & cloud-agnostic) that leverages process mining, knowledge graphs, an agentic ecosystem, and a canvas to optimize processes and proactively propose and simulate improvements by deploying agents into the customer’s system.

Key details:
✓ Role: develop AI services, work closely with backend/data teams, well-structured APIs, production-grade RAG.
✓ Tech stack: (equivalent technologies are fine) Python, FastAPI, GCP (Vertex AI, BigQuery, GKE, Cloud Storage), LangChain, LangGraph, AutoGen, Pinecone.
✓ Team: UK-based product and cross-functional group with PhD-level engineers. 

Requirements:

• 2+ years building AI systems.
• 5+ years in Data Science / Data Engineering / ML.
• Python, FastAPI 

We’re building AI agents for logistics companies that automatically manage parcel delivery across multiple carriers.
Our goal is to enable logistics systems to communicate seamlessly via API — without manual coordination.

You’ll work on a platform that:

• helps companies quickly integrate with major carriers (FedEx, DHL, UPS, and local providers);
• automates shipment creation, tracking, and delivery data management;

• leverages AI agents that understand business logic and execute real operations inside customer systems.

   

Who we’re looking for:

• An engineer with 1,5+ years of experience in B2C e-commerce delivery or carrier integrations (outbound, returns, or cross-border).
• Someone who has built or integrated logistics APIs, understands how shipments, labels, tariffs, and delivery statuses work.
• A hands-on Python / FastAPI engineer with strong product sense who wants to shape architecture from day one.

This is your chance to build the core AI infrastructure powering the next generation of global logistics.