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Claude Code Agentic Developer at Tiger Resourcing Group | JobVerse
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Claude Code Agentic Developer
Tiger Resourcing Group
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Claude Code Agentic Developer
United Kingdom
Full Time
1 hour ago
No Sponsorship
Apply Now
Key skills
AWS
Azure
Cloud
Cyber Security
Docker
Google Cloud Platform
JavaScript
Kubernetes
NoSQL
Python
SQL
TypeScript
AI
Generative AI
LLM
Claude
RAG
Agentic
MLOps
Chroma
Qdrant
Pinecone
Weaviate
GCP
Google Cloud
Git
CI/CD
About this role
Role Overview
Design, develop, and deploy agentic AI applications using Claude Code
Build autonomous AI agents capable of multi-step reasoning, planning, memory retention, and tool execution
Integrate AI agents with APIs, databases, enterprise systems, and third-party platforms
Develop Retrieval-Augmented Generation (RAG) solutions using vector databases and knowledge repositories
Create secure, scalable, and production-ready AI workflows
Engineer prompts, system instructions, and evaluation frameworks to improve agent performance and reliability
Develop multi-agent architectures and orchestration frameworks
Implement monitoring, observability, testing, and governance controls for AI systems
Collaborate with Product, Engineering, Data, and Business stakeholders to identify and deliver AI use cases
Stay up to date with advancements in Agentic AI, Generative AI, Claude Code, and the wider LLM ecosystem
Requirements
Proven experience developing solutions using Claude Code
Strong understanding of Agentic AI concepts including planning, reasoning, memory, reflection, and tool use
Experience building autonomous AI agents and AI-powered automation solutions
Strong prompt engineering and AI evaluation experience
Experience implementing RAG architectures and semantic search solutions
Strong Python development skills
Experience with JavaScript and/or TypeScript
Experience building and integrating REST APIs
Understanding of software architecture, design patterns, and scalable development practices
Experience with Git, CI/CD pipelines, and modern development workflows
Experience with vector databases such as Pinecone, Weaviate, Chroma, Qdrant, or FAISS
Knowledge of SQL and NoSQL databases
Experience integrating enterprise data sources and knowledge repositories
Experience with AWS, Azure, or GCP
Knowledge of Docker and Kubernetes
Experience deploying AI applications into cloud environments
Commercial experience delivering production-grade AI solutions
Experience with multi-agent orchestration and autonomous workflow systems
Exposure to MLOps, AI observability, and governance frameworks
Experience working within enterprise or regulated environments
Knowledge of cybersecurity and secure AI development practices
Tech Stack
AWS
Azure
Cloud
Cyber Security
Docker
Google Cloud Platform
JavaScript
Kubernetes
NoSQL
Python
SQL
TypeScript
Benefits
Opportunity to work on cutting-edge Agentic AI initiatives
Influence the design and delivery of enterprise AI solutions
Hybrid working model based in Manchester
Exposure to the latest AI technologies and frameworks
Collaborative and innovation-focused environment
Apply Now
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