Role Description We're expanding our Prompt Engineering team and are looking for a Conversational Designer to join us! Qualifications - Senior+ level: 4+ years of hands-on experience working on AI/ML or conversational AI projects — ideally in fintech, telecom, or retail - Proven experience with prompt engineering: writing and iterating prompts for LLMs for real product use cases - Experience designing end-to-end conversational flows for chatbots or AI agents, including: - Intent recognition - Dialogue trees - Fallback handling - Consumer copywriting - Experience with prompt testing / QA and AI Observability tools (LangSmith, etc) - Experience with prompt iterating and evals (prompt engineering + test cases + human-in-the-loop) - Nice to have: - Background in UX Design or UX Research - strong plus! - AI Voice experience - Background in business process analysis: ability to translate complex workflows into clear, structured dialogue scenarios Requirements - Analyze how business processes work on the client side: study internal instructions for employees, as well as real conversation recordings and transcripts - Based on this analysis, design scripts and prompts for AI agents to automate these processes - Create training and test data sets - Develop and apply methodologies to assess the quality of the AI agents’ performance and use them to refine the agents Benefits - The team has built award-winning AI products for tech corporations — devices, voice assistants, products that are actually in the world - Cutting-edge tech stack: Speech Technologies, NLP, Generative AI (LLMs, diffusion models), voice-first agentic architecture with privacy-first and on-premises deployment - High engineering bar and real ownership — the team cares about what actually works in production, not what looks good in a demo, and you'll see the impact of your work directly - Fast career progression — a senior-heavy team and a high volume of real problems means you grow faster than you would anywhere else - Startup pace with enterprise stability — real clients, real revenue, no bureaucracy - Fully remote across Europe - 21 vacation days + public holidays + 5 sick days - Private English lessons via Preply

Role Description We are seeking an experienced Senior AWS Engineer to join our Professional Services delivery team on a permanent basis. This is a hands-on, customer-facing delivery role within a consultancy environment - not an internal platform engineering position. - Design and build secure, well-architected AWS environments. - Lead the migration of customer workloads into AWS. - Deliver Landing Zone deployments, enterprise migration and estate-separation programmes. - Contribute to pre-sales scoping and effort estimation. Key Responsibilities - Design and build AWS Landing Zones and multi-account environments using Control Tower and Infrastructure as Code (CloudFormation and/or Terraform / CDK). - Lead and deliver enterprise migration and estate-separation programmes - migrating servers and workloads into AWS using AWS MGN and related tooling, across structured migration waves. - Migrate databases as part of infrastructure migrations to AWS - for example, moving on-premises MS SQL Server to Amazon RDS - using appropriate migration tooling and cutover approaches. - Design and implement AWS networking for migrations - Transit Gateway, VPN, hybrid connectivity - and deploy application platforms into the target environment. - Support live migration waves and cutovers in production, including planned out-of-hours activity where required. - Contribute to Well-Architected Reviews, security hardening, DR enablement and cost optimisation across customer estates. - Work directly with customer technical stakeholders as a trusted, credible engineer in a consultancy setting. - Collaborate with Solution Architects to translate designs into buildable solutions, and with Project Managers to deliver within SOW scope, timeline and budget. - Participate in pre-sales activities: solution scoping, effort estimation and input into Statements of Work and proposals. - Produce clear technical documentation - architecture diagrams, build guides, runbooks and handover material. - Mentor junior engineers and contribute to internal knowledge sharing and capability building. Qualifications - Demonstrable hands-on AWS engineering experience delivered within a Professional Services, consultancy or Managed Services environment. - Strong core AWS: compute, networking, storage, security and identity (EC2, VPC, S3, IAM, RDS, Lambda, CloudFront, CloudWatch and related services). - Proven experience delivering AWS migration programmes for external customers, including migrating servers and workloads into AWS. - Experience migrating databases as part of an infrastructure migration to AWS (e.g. on-premises MS SQL Server to Amazon RDS). - Proven experience building and provisioning infrastructure using Infrastructure as Code (CloudFormation and/or Terraform). - Experience designing and implementing AWS Landing Zones and multi-account governance. - Experience with architecture design work and the ability to estimate effort for consultancy engagements. - Confident working alongside Project Managers and Solution Architects within structured, SOW-driven delivery teams. - Excellent communication skills, comfortable in customer-facing delivery environments. - Based in the UK with the right to work; able to travel to customer sites and Cloud Bridge offices as needed. Desirable Experience - Experience using AI tools to support and accelerate delivery work (e.g. Kiro, Claude Code, Amazon Q, GitHub Copilot). - Exposure to delivering AI / data solutions for customers (e.g. GenAI / Amazon Bedrock use cases, data platforms and analytics). - Container platform experience (ECS, EKS) and CI/CD pipeline delivery. - DR enablement using AWS Elastic Disaster Recovery; enterprise identity integration. - Familiarity with security vendors (Palo Alto, Fortinet, CrowdStrike, SentinelOne). - Experience with AWS partner funding programmes (e.g. MAP, Well-Architected). - AWS certifications - Solutions Architect Associate / Professional, or equivalent. Personal Attributes - Pragmatic, delivery-focused and comfortable operating within fixed-scope engagements. - Strong attention to detail when executing build and migration activities. - Collaborative team player who works well within architect-led delivery teams. - Consultative mindset - able to build customer trust and communicate technical concepts to non-technical stakeholders. - Curious and efficiency-minded - continually looks for smarter, faster ways to deliver, including through AI-assisted tooling.

Role Description This is a full-time, permanent opportunity for candidates based in the UK. Please note that visa sponsorship is not available for this role. As part of our Engineering function, you will work closely with clients to translate complex business requirements into innovative digital products. Whether you are a Senior Engineer, Tech Lead, or DevOps Engineer, you will collaborate with distributed teams, leveraging cutting-edge technologies to build secure, high-performance applications. Our Nearform engineers are known for building high quality, scalable solutions that solve real world problems. Qualifications - Professional experience as a Data Engineer, with strong focus on cloud-based data engineering using AWS - Strong expertise in Python development for production systems - Hands-on experience building and working with knowledge graphs - Strong experience with relational databases and enterprise data platforms - Demonstrated experience building high-quality data pipelines, including performance optimisation and diagnostics - Hands-on experience with Docker and containerised workloads - Experience creating and maintaining CI/CD pipelines - High standards for code quality, testing automation, and maintainable design - Strong problem-solving skills and ability to work independently in complex environments - Excellent communication and collaboration skills, with experience working in cross-functional teams Requirements - Nice to have: Experience with enterprise-scale data platforms - Nice to have: Interest in Generative AI and applied machine learning - Nice to have: Experience with SPARQL Benefits - Annual Company Bonus - We all help Nearform to hit company goals so we all receive a share of the profits on an annual basis in line with company performance. - Work Remotely and Flexibly - We have a genuine dedication to work/life balance. Our flexible working culture allows you to work around what matters - school run, no problem! - Paid Time Off Package - We offer an annual leave of 25 days plus public holidays. We also offer sick leave, marriage leave and many more. - Remote Working Allowance - Every 2 years, you will have a budget of up to €1250 (equivalent in GBP) to help you set up a comfortable and productive workspace in addition to your essential equipment provided by Nearform when you join. - Training and Development Allowance - We understand the importance of continuously learning so we offer an allowance of up to €1000 (equivalent in GBP) you can use to upskill yourself. - Healthcare - It’s important to always take care of your health, so we offer additional private healthcare here at Nearform. If you wish to learn more about the plan offered feel free to reach out to our team. - Pension & Insurances - We offer a pension match of up to 5% and Income Protection and Death in Service for peace of mind. Company Description Nearform is an independent team of data & AI experts, engineers, and designers who build intelligent digital solutions and capability at pace. We create AI-enabled solutions that enhance digital experiences, empower developers, and deliver measurable results. In these ways, we partner with ambitious enterprises to deliver enduring impact. Our deep expertise in solving the world’s most complex digital problems, along with our collaborative, people-first approach, enables enterprises to build breakthrough products and modernise legacy systems by unleashing the power of AI. Today, our team of 500 experts in 20+ countries is trusted by leading enterprises including Lululemon, Puma, Sun Life, Starbucks, Travelex, Virgin Media 02, and Walmart.

• Work directly with customers to understand business requirements and identify AI use cases • Design, build and deploy AI-powered applications using OpenAI technologies • Integrate Large Language Models into enterprise systems and business workflows • Develop backend services and APIs to support AI solutions • Build Retrieval-Augmented Generation (RAG) solutions and AI workflows • Integrate AI applications with existing enterprise platforms and data sources • Prototype, validate and optimize AI solutions for production environments • Collaborate with Software Engineers, Data Engineers and Solution Architects • Troubleshoot technical issues and optimize application performance • Contribute to best practices for AI engineering and customer delivery • For Senior-level candidates: lead technical discussions, mentor team members and support solution design