AI Manager - Team Management - Python - LLM - Langflow - RESTAPI

AI Manager - Team Management - Python - LLM - Langflow - RESTAPI

This exciting opportunity has arisen for a AI Manager to 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 experienced Artificial Intelligence Manager with 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 a genuine player-coach role where 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. Python Experience is crucial for this position

Building Production Systems (50%)

• Designing Workflows You'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 Systems You'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 Code When 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 Reliability You 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