Vallum Associates
Senior AI Engineer
London
Posted about 23 hours ago
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Your Responsibilities:
- Design and develop agentic AI systems capable of multi-step reasoning, planning, and action execution
- Build scalable AI applications using Python as the core development language
- Develop and integrate solutions using Azure OpenAI Services, including prompt engineering, embeddings, and fine-tuning strategies
- Implement orchestration pipelines using Semantic Kernel and LangGraph for multi-agent workflows
- Integrate tools, APIs, and enterprise systems using MCP (Model Context Protocol) or similar frameworks
- Design memory, state management, and context-aware agent behaviors
- Optimize performance, cost, and latency of LLM-based solutions
- Collaborate with solution architects, product teams, and stakeholders to translate business use cases into AI solutions
- Ensure governance, security, and responsible AI practices are embedded into solutions
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Your Profile
Key Responsibilities
- Design agent architectures
- Define orchestration patterns
- Design tool strategy and integration approach
- Lead implementation of AI services
- Establish coding standards and best practices
- Guide evaluation and safety approaches
- Support production deployments and troubleshooting
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Hands-on Skills Required
- Design multi-agent solutions
- Design RAG architecture
- Implement complex orchestration workflows
- Build scalable AI microservices
- Define AI governance patterns
- Troubleshoot production AI solutions
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Skills
AI Systems
Python
Azure OpenAI Services
Prompt Engineering
Embeddings
Fine-Tuning
Orchestration Pipelines
Semantic Kernel
LangGraph
APIs
MCP
Memory Management
State Management
Performance Optimization
Multi-Agent Solutions
Troubleshooting
Location