Senior Python Engineer (AI)

Velocity Tech
Greater London, UK
13 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
8 years minimum
Working hours
Regular working hours

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Microsoft Azure Software as a Service Cloud Computing Distributed Systems Python (Programming Language) Machine Learning Enterprise Data Management Enterprise Software Applications Large Language Models
+6 more
Multi-Agent Systems Backend Build Management Kubernetes Data Management Virtual Agents

Job description

Velocity Tech Partners are hiring a Senior Python Engineer to join a high-performing team building cutting-edge agentic AI platforms for enterprise clients.

This is a senior-level role focused on designing and delivering production-grade AI systems using modern LLM orchestration frameworks - not ML research.

You’ll work across complex client environments, helping organisations deploy intelligent, autonomous systems that drive real operational impact.

What you’ll be doing

  • Design and build agentic AI platforms using Python and modern AI frameworks
  • Architect LLM orchestration using tools such as LangGraph, CrewAI, AutoGen and similar technologies
  • Build and scale multi-agent systems with tool use, memory, planning, and workflow execution
  • Design and implement RAG pipelines over enterprise data sources
  • Integrate agentic systems into client environments (APIs, data platforms, SaaS tools, enterprise systems)
  • Deploy and manage workloads in Kubernetes across cloud, on-prem, and hybrid infrastructures
  • Design robust, scalable, and secure production architectures
  • Work directly with clients and stakeholders to translate business problems into technical solutions

Requirements

  • 8+ years’ experience as a Senior Software Engineer (Python-focused)
  • Strong track record building production-grade backend systems
  • Proven experience delivering agentic AI / LLM-based systems in production
  • Hands-on experience with RAG pipelines and enterprise data integration
  • Strong distributed systems and architecture skills
  • Experience deploying workloads in Kubernetes
  • Cloud experience (AWS / Azure / GCP)
  • Comfortable working in fast-paced, ambiguous, client-facing environments

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