Role Description We are looking for an experienced Senior Fullstack / AI Engineer who will be responsible for end-to-end feature development — from building intelligent AI agents on the backend to visualizing them through intuitive user interfaces. Why you’ll love this project: - We have absolutely zero legacy code. - Our entire stack is bleeding-edge (running the latest versions). - We don’t just "plug in an OpenAI API key" — we are building a complex distributed system featuring RAG architecture, vector search, event streaming, and big data analytics. Our Tech Stack: - Frontend: Vue 3 / React, TypeScript - Backend: Node.js (LTS) + NestJS (core business logic), Python + FastAPI (AI services, orchestration, data processing) - AI & ML: OpenAI, Anthropic, Google - Data Storage & Messaging: PostgreSQL, ClickHouse, Qdrant, Kafka, Redis, S3 / MinIO Key Responsibilities - Develop end-to-end functionality: from complex interactive interfaces and dashboards to distributed backend services using NestJS and Python. - Design and maintain a microservices architecture, ensuring seamless interoperability between Node.js and Python services. - Design and optimize data storage schemas across a heterogeneous environment (PostgreSQL, ClickHouse, Qdrant). - Implement asynchronous inter-service communication and event streaming via Kafka. - Integrate AI components, managing embeddings and semantic search functionality within Qdrant. - Optimize application performance, build times, and data processing pipelines. - Design and evolve the AI architecture: integrating OpenAI/Anthropic models, managing context windows, and optimizing token consumption (tiktoken). - Build and tune RAG (Retrieval-Augmented Generation) pipelines using LangChain and Qdrant vector database. Qualifications - Senior, 4–5+ years in product development, with hands-on experience in LLM integration and data engineering. - Strong Fullstack Background: Deep knowledge of Node.js, Worker threads, and the NestJS ecosystem (solid understanding of Dependency Injection, Modules, Guards, Interceptors, and Pipes). Proficient in TypeScript (Vue 3, NestJS) and a proven track record of backend development with Python. - Hands-on AI/LLM Experience: A solid understanding of prompt engineering, LangChain chains, embeddings, and semantic search. You know exactly how Claude differs from GPT in production environments. - Vector DB Expertise: Practical experience with Qdrant (or similar vector databases) — including indexing, similarity search, and vector tuning. - Data Infrastructure Literacy: Experience working with distributed systems, message brokers (Kafka), and analytical databases (ClickHouse). - Database Mastery: You clearly understand when to query PostgreSQL, when to aggregate data in ClickHouse (OLAP vs. OLTP), and how vector indexes operate in Qdrant. - Infrastructure Horizons: Experience with caching (Redis), object storage (S3/MinIO), containerization (Docker/Kubernetes), and the AWS ecosystem. - Mindset: Strong analytical skills, a product-driven mindset, the ability to architect fault-tolerant systems, and a dedication to writing clean, maintainable code (SOLID, OOP/FP patterns). Benefits - Consistent monthly payment based on invoices (payments are made via bank transfer/ Payoneer or PayPal). - Remote working from 14:00 to 23:00 EEST, including a one-hour break. - Supportive work/life balance: paid vacation and sick leave. - Opportunities for professional and career growth and development. - Opportunity to use modern approaches and tools to solve business problems. Our recruitment process - Interview with HR - Technical interview with team leaders

Role Description Joining Customer Service Transformation Programme, working within the AI & Agents squad. The squad owns customer-facing agentic AI on AWS Bedrock with multi-agent collaboration patterns using Claude Sonnet. Concurrent work includes: - Domain-specific chat agents going live - Additional domain agents being designed - Chatbot automation - Agent WorkSpace AI features (real-time alerts, complaint indicators, Agent Note Taker) Qualifications - 5+ years software engineering, with 2+ years on customer-facing AI/LLM systems in production - Hands-on Amazon Bedrock - Agent configuration, Action Groups, Knowledge Base integration, Guardrails - Multi-agent orchestration patterns (supervisor/collaborator/handoff) - Prompt engineering at production scale - versioning, A/B testing, regression methodology - Lambda fulfillment patterns including OpenAPI tool specifications - TypeScript primary, Python secondary - Working knowledge of vector databases (OpenSearch Serverless, Pinecone, or equivalent) - Strong written and verbal communication - this role contributes to architectural decisions visible to senior stakeholders Requirements - Hands-on Amazon Bedrock AgentCore (the new managed agent runtime - rare in market) - Amazon Agent Assist / Agent WorkSpace integrations - Voice agent experience (Nova Sonic or other voice LLM) - Production experience with Anthropic Claude on Bedrock (Sonnet 4 or later) - RAG implementation experience - chunking strategy, embedding model selection, retrieval evaluation - AI safety / Guardrails configuration experience Company Description AND Digital are a tech company focused on accelerating digital delivery and dedicated to closing the digital skills gap. We’ve been helping organisations build better digital products and stronger digital teams since 2014. - We believe our work should always make a remarkable impact for our clients. - This unique model has driven success for our clients and ourselves, evidenced by our remarkable organic growth since 2014. - Today we number more than 1,300 people with Clubs all over the UK, Europe and the USA with plans for global expansion in the next couple of years. Join us - and help us fulfil our mission to close the world’s digital skills gap.

• You’ll be supporting and leading projects that develop and exploit new technologies. • Executing multiple proof-of-concept type projects in quick succession. • Participating in securing funding through proposals to the Government and private funding sources. • Becoming intimately familiar with (a) multiple technology areas, (b) intellectual property and how to protect it, and (c) the process by which technologies are evaluated for their potential to generate products. • Demonstrating an exceptional degree of technical ingenuity, intellectual curiosity, and a track record of successful business development/bid and proposal efforts. • Seeking out, identifying, and capitalizing on learning opportunities.

• Lead the development and execution of the HR AI roadmap, with a focus on Workday AI agents and automation opportunities • Identify and prioritise high-value use cases that improve service delivery, operational efficiency, and employee experience • Partner with HR, Workday, IT, and business stakeholders to activate AI capabilities in a controlled and scalable way • Drive adoption and utilisation of AI tools through clear communication, targeted change management, training, and stakeholder engagement • Establish adoption metrics, usage dashboards, and value tracking to measure impact and inform ongoing optimisation • Work with process owners to redesign HR workflows around AI-enabled ways of working • Ensure responsible AI principles are embedded, including governance, privacy, compliance, and risk management • Translate AI capability into practical HR applications that are easy to understand, trust, and use • Build HR team capability and confidence through education, enablement, and coaching • Monitor emerging trends and assess new AI opportunities relevant to HR and Workday • Act as a thought partner to HR leadership on the future of work, automation, and digital enablement