TechShack

AI engineer in financial services

In short

Senior-level hands-on GenAI/LLM engineering role delivering a production-grade Generative AI solution for a regulated financial services environment, covering LLM pipelines, RAG, document processing and agentic AI on AWS (Amazon Bedrock, Agentcore, OpenSearch). Requires proven experience moving GenAI solutions beyond POCs into production, strong Python skills, and prior work in financial services or another highly regulated industry. This is a 3-month fully remote contract outside IR35, paying £500-£550 per day.

Description
GenAI / LLM Engineer to support the delivery of a production-grade Generative AI solution within a regulated financial services environment. This is a hands-on engineering role focused on LLM pipelines, RAG, document processing and agentic AI, using AWS technologies including Amazon Bedrock and Agentcore. Candidates must have experience taking GenAI solutions beyond proof-of-concept and into real production environments.
Tasks
LLM pipelines, RAG, document processing and agentic AI
Requirements
•Strong hands-on experience delivering production GenAI/LLM solutions, rather than purely prototypes or POCs.
•RAG architecture for complex, document-heavy applications.
•Amazon Bedrock
•AWS Agentcore
•Amazon OpenSearch, including vector search, k-NN and hybrid retrieval.
•Strong Python development skills.
•Experience with LangChain, LlamaIndex, LangGraph, CrewAI or similar frameworks.
•Document processing technologies such as Amazon Textract, PyPDF or Unstructured.io.
•Designing multi-agent or tool-use architectures.
•GenAI evaluation, hallucination detection, validation and confidence-scoring techniques.
•Experience delivering technology within financial services or another highly regulated environment.
Conditions
•3 month contract
•Fully Remote
•£500-£550 per day
•Outside IR35

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