Sush Talent Limited

AI Product Developer (AI Foundry)

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI Product Developer (AI Foundry) with a 6-month contract in Leeds (hybrid). Pay ranges from £350-£400 per day. Key skills include AI development, integration with enterprise systems, secure AI practices, and observability.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
400
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🗓️ - Date
March 19, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
Outside IR35
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🔒 - Security
Unknown
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📍 - Location detailed
Leeds, England, United Kingdom
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🧠 - Skills detailed
#AI (Artificial Intelligence) #Scala #Consulting #Observability #Documentation #Metadata #Monitoring #Logging #Automation #Security #Libraries
Role description
Job Title- AI Product Developer (AI Foundry) Client-Global Consulting Firm Day Rate-£350-£400 (Outside IR35) Duration-6 months (extendable) Location-Leeds (Hybrid, 3 days per week in the office) Essential skills and experience: • Design, develop and maintain Copilot solutions, intelligent agents, plugins, connectors and LLM workflows (e.g., Copilot Studio). • Build scalable components (prompt orchestration, retrieval layers, automation flows, model interfaces, validation pipelines). • Integrate with enterprise systems/APIs/data platforms, ensuring security, resilience and architecture alignment. • Conduct rapid prototyping to validate feasibility, model behaviour, UX and performance. • Implement secure‑by‑design and responsible AI practices (guardrails, controls, monitoring, auditability). • Develop/optimise RAG components, embeddings, vector queries and metadata strategies for accuracy/reliability. • Implement observability: logging, telemetry and LLM monitoring for quality and incident triage. • Create reusable assets (prompt libraries, agent templates, connectors, test harnesses) and documentation. • Translate design artefacts into build‑ready specifications and aligned solution designs. • Co‑define test strategies and model performance thresholds with the AI Test Lead. • Mentor colleagues and enable pro‑/low‑/no‑code teams to adopt AI safely. • Ensure responsible AI principles (e.g., transparency, explainability, ISO42001) are incorporated into all development. • Maintain a library of development artefacts, patterns and re‑usable assets to support repeatability and uplift maturity across the AI Foundry.