Lead AI Product Engineer

Job not on LinkedIn

🔥 56 minutes ago

🇬🇧 United Kingdom – Remote

⏰ Full Time

🟠 Senior

🤖 AI Engineer

🇬🇧 UK Skilled Worker Visa Sponsor

This company has sponsored UK Skilled Worker visas in the past.

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Ascent

WebsiteLinkedInAll Job Openings

201 - 500 employees

💼 Consulting

🏥 Healthcare

🛡️ Insurance

Consulting • Healthcare • Insurance

Ascent is a design-led data, software, and cloud company specializing in AI and advanced analytics. The company offers a range of services including digital experience engineering, data science, UX design, cloud solutions, and more. With a focus on innovation and technology advisory, Ascent helps customers drive digital transformation by modernizing and optimizing their data and software applications. Their team of engineers, architects, data scientists, and experience designers aims to empower businesses across various industries to develop scalable solutions, enhance customer experiences, and deliver significant business outcomes. Ascent collaborates with businesses in sectors such as insurance, healthcare, retail, and more, providing tailored solutions that meet specific needs and challenges.

📋 Description

• Own solutions from discovery and architecture through implementation, phased testing, deployment, monitoring, and production support • Build AI capabilities into real applications and workflows, including model and service integration, grounding or retrieval patterns, structured outputs, orchestration, guardrails, and fallback behavior • Deliver intuitive web experiences, robust APIs and services, and reliable connections between application, AI, and data layers • Create shared components, templates, reference architectures, deployment patterns, and standards for reuse across initiatives • Define testing across development and deployment stages • Implement automated software tests and repeatable evaluation of AI quality, reliability, latency, and failure modes • Instrument applications for tracing AI, data, integration, and application behavior • Diagnose issues across upstream and downstream dependencies and implement durable fixes • Embed authentication, authorization, secrets management, data protection, auditability, compliance controls, and lineage into solution design • Measure and improve operating cost, token consumption, model selection, retrieval strategy, caching, latency, and infrastructure use • Report the economics of operating each solution • Partner with UI/UX and business stakeholders to improve user outcomes and adoption • Contribute ideas, review designs and code, share specialist knowledge, and lead challenges aligned with technical strengths

🎯 Requirements

• Significant professional software engineering experience, including ownership of production systems and technical decisions at Lead or Principal-caliber level • Hands-on delivery of AI-enabled products or application features that operate in production and serve recurring business workflows • Strong full-stack capability: modern JavaScript/TypeScript, React or Next.js, API and service development, and integration with enterprise data platforms • Strong backend engineering experience in C#/.NET or a comparable enterprise stack • Sound knowledge of distributed systems, asynchronous processing, and integration patterns • Deep experience with Azure or another major cloud platform, including secure networking, identity, secrets, serverless or containerized services, CI/CD, infrastructure as code, and production telemetry • Practical understanding of LLM application architecture, including model APIs, retrieval and grounding, prompt and context design, structured output, evaluation, monitoring, and responsible failure handling • Ability to explain trade-offs among quality, user experience, latency, security, maintainability, and cost • Persistent, low-ego problem-solving style; ability to work through ambiguity, seek expertise when needed, and remain accountable until issues are resolved • Clear written and verbal communication with engineers, product partners, business stakeholders, and support teams • Nice to have: Azure OpenAI or comparable managed model services, Azure AI capabilities, and production use of leading model providers • Nice to have: Application Insights, OpenTelemetry, distributed tracing, AI-specific observability, or evaluation tooling • Nice to have: Snowflake or comparable cloud data platforms • Nice to have: Enterprise design systems, accessibility, user research, and UI/UX partnership • Nice to have: Experience in regulated or data-sensitive environments • Nice to have: Working proficiency in Python for AI services, evaluation, data processing, or automation

🏖️ Benefits

• No specific benefits or compensation extras stated in the posting

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