AI Engineer

Company Description Meet Cobalt Streamworks. With over 40 years of heritage, we’re an agile, fast growing, Cloud company that is on a mission to redefine Enterprise Resource Planning (ERP) for mid-market people-centric organisations. With our innovative, self-driving, adaptive and intuitive software, our customers can spend more time on meaningful high-value work. At the heart of what we do lies a simple yet profound purpose: Improve how people work by focusing on what truly matters. — A powerful statement that enables different priorities for different people. We’re shaping how work should feel , and we empower our people by providing them with the right tools to achieve the autonomy they need - it's what makes us unique. Job Description We're looking for an AI Engineer to design, build, and operate production-grade AI and Generative AI solutions across the company. This is a hands-on engineering role: you'll turn architecture and business requirements into working, scalable systems - including LLM applications, AI agents, RAG pipelines, and integrations with our enterprise platforms. The role has a strong emphasis on Microsoft Azure and the Microsoft Copilot ecosystem, which are our primary enterprise platforms. Key Responsibilities Design and implement AI-driven solutions that automate business processes, reduce manual effort, and improve service delivery across the organization. Build production-grade GenAI applications — LLM-powered features, AI agents, copilots, and orchestration layers — translating architectural patterns into working code. Contribute to PoCs and pilots, rapidly prototyping new capabilities and bringing them to a production-ready state when validated. Develop and integrate AI agents and multi-agent systems using established orchestration frameworks. Build APIs and microservices that expose AI capabilities to internal teams and products, following architecture and security standards. Integrate AI solutions with enterprise platforms (e.g., CRM, ERP, ITSM, data warehouse, identity, observability stack) via APIs, events, and connectors. Ensure designs support scale, reliability, and change management — versioning, backward compatibility, and clear contracts. Contribute to responsible AI practices and internal policy development by translating principles into engineering standards, reusable patterns, and reference implementations. Implement governance and security controls in code, including: data classification and PII handling, prompt injection defences and content filtering, audit logging and traceability, and RBAC/least-privilege access patterns. Qualifications 3+ years of professional software engineering experience, with 1–2 years building and shipping AI/ML or Generative AI solutions in production. Proven track record of delivering AI features that run in production with real users. Hands-on experience in enterprise environments: security, compliance, integrations, and scale. LLMs & GenAI: deep practical experience with foundation models, prompt engineering, tool/function calling, structured outputs, and context management. Agents & orchestration: hands-on experience building agents, copilots, or multi-agent workflows. Microsoft Azure: deploying and operating AI workloads on Azure — specifically Azure OpenAI Service, Azure AI Foundry, Azure AI Search, and related services. Microsoft Copilot ecosystem: extending or integrating Microsoft 365 Copilot; building custom copilots and agents with Microsoft Copilot Studio. Python: strong production-quality Python — typing, testing, packaging, and async patterns. APIs & services: REST and/or gRPC; event-driven patterns; API design and versioning. MLOps fundamentals: experiment tracking, model and prompt versioning, automated evaluation, and monitoring of AI systems in production. Multi-model experience: familiarity with working across LLM providers (e.g., Azure OpenAI, third-party models via Azure AI Foundry) and adapting to provider-specific patterns such as tool use, structured outputs, and long-context handling. Experience with embedded/on-platform AI tooling such as ServiceNow Now Assist or similar ITSM AI capabilities. Strong communication skills — able to explain technical decisions to both engineers and non-technical stakeholders. Pragmatic, delivery-oriented mindset; comfortable balancing speed of iteration with production quality. Fluency in English, written and spoken. Please send your CV in English. Additional Information Who we are? We are a people-first community that nurtures all the areas that surround your working experience. With us, you’ll be surrounded by a high-performance team that supports your authentic self and celebrates your uniqueness. We believe that ‘How work should feel’ is an evolving statement. Work goes beyond tasks and everyday responsibilities it’s about feeling valued, empowered, promoted, impactful, seen, and appreciated We are reimagining how work makes people feel. What we offer? a culture built on trust and account