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AI Manager - Team Management - Python - LLM - Langflow - RESTAPI
This exciting opportunity has arisen for aAI Managerto join a rapidly growing SaaS Scale-up in the UK. This organisation are are growing a cutting-edge AI Team and developing AI Graduate Engineers to become the best they can be.
We are seeking an experiencedArtificial Intelligence Managerwith solid experience in manging a team of at least 3-7 people to be able to manage 7-10 in this position while staying hands-on with the work that matters most. You'll be shaping a team from the ground up - establishing engineering standards, building a culture of quality, and watching graduates develop into strong engineers. When your team needs deep ML expertise, you'll partner with our experienced AI Platform team. Your focus is on delivery, production excellence, and growing your team's capabilities.
This is agenuine player-coach rolewhere you'll spend half your time developing people (1-on-1s, code reviews, career guidance) and half your time building production systems alongside them using tools like Langflow.PythonExperience is crucial for this position
Building Production Systems (50%)
- Designing WorkflowsYou'll architect production-grade workflow automations using Langflow that integrate AI capabilities - LLMs, document processing, entity extraction - into reliable business processes. These aren't demos; they're systems our customers depend on daily.
- Integrating SystemsYou'll build complex API integrations connecting internal systems with external services. You understand OAuth flows, rate limiting, retry strategies, and the reality of systems that sometimes fail.
- Writing CodeWhen off-the-shelf components aren't enough, you'll develop custom Python components. You'll establish patterns for error handling, monitoring, logging, and testing that the team can follow.
- Ensuring ReliabilityYou own production reliability for your team's workflows. When things break (hopefully rarely), you'll have built systems that fail gracefully and alert appropriately.
Skills in the Team
Core tools: Langflow, Python, Supabase, Langfuse
Integration: REST APIs, webhooks, OAuth 2.0
AI Services: LiteLLM Proxy, Azure OpenAI, Google Vertex
Data: PostgreSQL, Azure Blob Storage
Observability: Langfuse, Prometheus, Grafana, Loki
Development: Git, GitHub, VS Code
Deployment: Kubernetes (AKS), Docker, ArgoCD
