Pyramid Consulting, Inc
Artificial Intelligence Engineer
London
Posted about 21 hours ago
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Role - AI Engineer
Location - London, UK (Hybrid)
Type - Contract
Job Description:
Role summary
We are looking for an AI Engineer to design, build, integrate, and optimize AI-powered services and intelligent systems that enhance employee experience and support real-world HR technology use cases. The role is hands-on and engineering-focused, with emphasis on secure, scalable, measurable, and maintainable AI application delivery.
Role type - Hands-on AI engineering resource
Primary focus - AI services, LLM integration, RAG patterns, prompt/context pipelines, evaluation, and Azure AI services
Key responsibilities
- Design and develop AI-powered services that enhance employee experience and support HR technology use cases.
- Integrate and optimize large language models and intelligent systems using Azure OpenAI and other cloud-native AI tools.
- Apply advanced AI architecture patterns such as Retrieval-Augmented Generation (RAG), Agentic RAG, MCP, Function Calling, and A2A to practical enterprise use cases.
- Engineer robust pipelines for prompt design, context handling, embeddings, chunking strategies, and real-time data integration.
- Evaluate, test, and optimize model output and application performance to improve relevance, robustness, fairness, and explainability.
- Implement guardrails, prompt testing, adversarial and bias testing, and other controls needed for responsible AI application delivery.
- Develop and deploy cloud-based AI applications at scale using Azure Cloud Services for AI, including Azure OpenAI and Azure AI Search.
- Ensure solutions are secure, reliable, observable, maintainable, and well documented.
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Required skills and experience
- Excellent Python skills and hands-on experience
- Experience in AI application development, with focus on cloud-based AI model integration, deployment, and optimization.
- Experience with AI/ML and agentic application frameworks such as LangChain, LangGraph, Pydantic
- Proficiency in advanced AI architecture patterns, including RAG, Agentic RAG, MCP, Function Calling, and A2A, especially in an Azure environment
- Good understanding of GPT token usage, latency analytics, and budget guardrails.
- Sound understanding of AI guardrails, prompt fuzzing, adversarial testing, and bias testing.
- Experience in prompt engineering, context engineering, vector databases, embedding and chunking strategies, and real-time data integration.
- Experience evaluating model output and optimizing AI application performance.
- Hands-on experience with Azure Cloud Services for AI, including Azure OpenAI and Azure AI Search.
- Strong commitment to quality, maintainability, documentation, and continuous learning.
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Nice to have
- Understanding of alignment and feedback techniques, synthetic data generation, and continuous human-in-the-loop review loops.
- Experience designing evaluation approaches for relevance, groundedness, explainability, safety, robustness, and operational quality.
- Experience packaging AI features for production use with logging, monitoring, observability, and controlled rollout patterns.
Profile we are looking for
- A pragmatic, hands-on AI engineer who can build production-grade AI services, integrate LLM capabilities into enterprise applications, and engineer reliable prompt, retrieval, context, evaluation, and deployment pipelines. The ideal candidate is technically strong, delivery-oriented, quality-minded, and comfortable working on secure and scalable AI applications in a cloud environment.
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Skills
Python
Azure OpenAI
Azure AI Search
LangChain
LangGraph
Pydantic
RAG
Agentic RAG
Prompt Engineering
Vector Databases
LLM Integration
Function Calling
MCP
A2A
Cloud-native AI tools
AI Evaluation
Location