Staff Engineer-Applied AI

About the role

Staff Engineer – Applied AI at Barclays Capital Securities leads the design, development, and deployment of GenAI and Agentic AI solutions for banking workflows. The role builds full‑stack multi‑agent systems using LLMs, LangGraph, LangChain, CrewAI, and cloud services (AWS Bedrock, Azure AI Foundry, GCP Vertex AI). Responsibilities include architecting scalable cloud‑native APIs, applying context engineering to improve model performance, implementing guardrails for safety and compliance, and collaborating with product, design, and engineering teams. The engineer drives end‑to‑end system design, writes efficient prompts, and evaluates model metrics. Strong Python/Java/GoLang skills, cloud experience, and knowledge of banking products are required. Preferred expertise in supervised or reinforcement learning fine‑tuning and financial domain knowledge. The position is on‑site in Bengaluru, India, and requires a bachelor’s degree in CS, engineering, or math.

What you’ll do

• Lead GenAI & Agentic AI system development for conversational AI and automation.
• Design full-stack multi-agentic AI systems with LLMs, REST-API, MCP, A2A.
• Expose agentic AI back-end, wrap existing back-end with MCP servers.
• Apply context engineering (caching, compression) to boost LLM performance.
• Implement guardrails & policy enforcement for safety/security compliance.
• Collaborate cross-functional teams to define requirements and solutions.
• Communicate with stakeholders, including senior leadership.
• Develop tools/frameworks for prompt-based model training, evaluation, optimization.
• Analyze data to evaluate model performance and identify improvements.

What you’ll bring

• Bachelor's degree in CS, engineering, math, or related.
• Cloud-scale software dev on AWS/Azure/GCP; fluent Python/Java/GoLang.
• GenAI/Agentic AI frameworks: LangGraph, LangChain, CrewAI, Strands SDK, Google ADK; MCP/A2A protocols.
• LLM model expertise; prompt writing for accurate context.
• Deploy Agentic AI with AWS Bedrock, Azure AI Foundry, GCP Vertex AI.
• AI implementation in software and legacy code transformation.
• API development and LLM integration.
• System design from ideation to completion; strong problem solving and communication.

Nice to have

• Fine-tuning techniques: supervised or reinforcement learning.
• Banking, financial products and services knowledge.

Skills

Education

Bachelor's