Gen AI Systems Engineer – Global Investment Research

Goldman Sachs; Birmingham; On-site; GBP 120,000 - 180,000; Full time

Job summary

Goldman Sachs is seeking a Senior Systems Engineer to build, enhance, and productionize AI-ready research tools and agentic pipelines within GIR. You will collaborate with senior engineers to develop end-to-end, full-stack applications and integrate Gen AI components into mission-critical platforms.

The role emphasizes cloud adoption on AWS, scalable microservices in Java or Python, strong SDLC discipline, and agile collaboration to translate research requirements into robust software solutions.

Qualifications

• 7+ years of hands-on software engineering experience with proficiency in Java or Python.
• Proficient with modern full-stack web technologies: React, TypeScript, FastAPI, Spring Boot.
• Solid understanding of SDLC tooling, automated testing, Git, Docker, and CI/CD automation.

Responsibilities

• Feature Engineering: Build and maintain end-to-end full-stack features, integrating analyst-facing frontends with backend APIs and microservices implemented in Java or Python.
• Gen AI & Agent Implementation: Implement and optimize advanced RAG pipelines and stateful multi-agent workflows using Google ADK, LangChain, LangGraph, AWS Bedrock, or equivalent technologies, incorporating structured outputs, tool calling, and human-in-the-loop steps.
• Evaluation & Benchmarking: Implement automated offline and online evaluation suites using tools such as Braintrust, AgentCore Eval, equivalent industry solutions, or custom test harnesses to assess contextual relevance, groundedness, and hallucination reduction.
• Cloud & Data Integration: Deploy and connect AI components with enterprise services on AWS, configuring Lambda, ECS/Fargate, EventBridge, S3, IAM policies, and API Gateway endpoints.
• Observability & Incident Support: Monitor model and service performance using CloudWatch and distributed tracing; triage production incidents, conduct root-cause analyses, and optimize token/resource consumption.
• SDLC Discipline: Actively participate in peer code reviews, write automated unit and integration tests, maintain CI/CD pipelines, and document integration patterns and data models.
• Agile Collaboration: Coordinate with business stakeholders and cross-functional teams in Agile sprints to translate research requirements into deliverable technical stories.

Skills

Java or Python

Full-stack web technologies (React, TS

Education

Bachelor's degree in Computer Science/Software Engineering/Applied Mathematics

Tools

AWS Lambda

AWS ECS/Fargate

AWS S3

AWS EventBridge

AWS CloudWatch

API Gateway

Git

Docker

CI/CD automation

Job description

Goldman Sachs is seeking a Senior Systems Engineer to build, enhance, and productionize AI-ready research tools and agentic pipelines within GIR. You will collaborate with senior engineers to develop end-to-end, full-stack applications and integrate Gen AI components into mission-critical platforms.

The role emphasizes cloud adoption on AWS, scalable microservices in Java or Python, strong SDLC discipline, and agile collaboration to translate research requirements into robust software solutions.