# Quant / Agentic AI Developer

**Company**: Barclays
**Location**: Canary Wharf, 1 Churchill Place
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Finance

**Apply**: https://barclays.wd3.myworkdayjobs.com/en-US/External_Career_Site_Barclays/job/Canary-Wharf-1-Churchill-Place/Quant---Agentic-AI-Developer---AVP_JR-0000135254-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_3bd4a284-096

## Description

We are seeking a Quant / Agentic AI Developer to join our Global Markets team in London. As a Quant / Agentic AI Developer, you will play a key role in building a new Agentic AI capability, working alongside traders, quantitative researchers, ML engineers, and data engineers.

Your primary responsibility will be to design and deliver production-grade AI agents that automate and augment complex business workflows. You will build solutions that reason over enterprise knowledge, interact securely with tools and systems, and operate reliably from prototype through to production.

Additionally, you will help make existing technology and data platforms AI-ready, develop robust knowledge and retrieval capabilities, and ensure solutions are secure, observable, cost-efficient, and appropriately governed.

**Key Responsibilities:**

- Development and implementation of quantitative models and strategies to derive insight into market trends and optimize trading decisions, pricing, and risk management across various financial products and markets.

- Working closely with sales teams to identify clients' needs and develop customised solutions.

- In-depth research, data analysis, and statistical modelling to derive insights into market trends, pricing, and risk dynamics.

- Provide front office infrastructure support through ownership and maintenance of analytical libraries.

- Provision of expertise on quantitative methodologies, technological advancements, and industry best practices to drive innovation within the trading environment.

**Requirements:**

- Proven experience taking at least one LLM or Agentic AI application from prototype into production, including tool calling, orchestration, evaluation, monitoring, and iteration.

- Considerable Python, ML, and software engineering skills, with experience of testing, CI/CD, Git, containerisation, and cloud-based AI workloads.

- Considerable knowledge of LLMs and NLP, including prompt/context engineering, embeddings, structured outputs, retrieval, and evaluation.

- Experience building RAG and enterprise knowledge solutions, including document ingestion, chunking, vector databases, hybrid search, re-ranking, metadata, and access-controlled retrieval.

- Experience with modern agent frameworks and technologies such as LangGraph, Claude Agent SDK, OpenAI Agents SDK, Strands/Bedrock AgentCore, Microsoft Agent Framework, or equivalent.

- Master's degree in a Science, Technology, Engineering, and Mathematics (STEM) field (or equivalent industry experience).

**Nice to Have:**

- Experience designing multi-agent architectures, MCP/tool integrations, shared state, and agent-to-agent collaboration.

- Knowledge of LLM evaluation, observability, guardrails, and cost optimisation, using technologies such as Langfuse, LangSmith, OpenTelemetry, or Bedrock Guardrails.

- Experience with AWS AI services, including Amazon Bedrock, SageMaker, Lambda, EKS, or S3.

- Experience with AI-assisted DevOps, knowledge graphs/GraphRAG, long-term agent memory, model fine-tuning, or inference technologies.

- Experience within financial services or Global Markets, including an understanding of model risk, controls, and AI governance.

**What We Offer:**

- Competitive salary

- Opportunity to work with cutting-edge technology

- Collaborative and dynamic work environment

**About Barclays:** Barclays is a British multinational bank and financial services company headquartered in London.

**Values:**

- Respect

- Integrity

- Service

- Excellence

- Stewardship

## Skills

### Required
- Python
- ML
- software engineering
- LLMs
- NLP
- LangGraph
- Claude Agent SDK
- OpenAI Agents SDK
- Strands/Bedrock AgentCore
- Microsoft Agent Framework

### Nice to have
- multi-agent architectures
- MCP/tool integrations
- LLM evaluation
- observability
- guardrails
- cost optimisation
- AWS AI services
- AI-assisted DevOps
- knowledge graphs/GraphRAG
- long-term agent memory
- model fine-tuning
- inference technologies

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Source: [Apply at barclays.wd3.myworkdayjobs.com](https://barclays.wd3.myworkdayjobs.com/en-US/External_Career_Site_Barclays/job/Canary-Wharf-1-Churchill-Place/Quant---Agentic-AI-Developer---AVP_JR-0000135254-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)