At a Glance
- Tasks: Build innovative software solutions and collaborate on cutting-edge AI projects.
- Company: Join Goldman Sachs, a leader in finance and technology.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Other info: Dynamic work environment with a focus on AI and innovation.
- Why this job: Make a real impact by solving complex engineering challenges in finance.
- Qualifications: Experience in Java or Python and modern web technologies required.
The predicted salary is between 45000 - 55000 £ per year.
Goldman Sachs is seeking an Associate Software Engineer for Global Investment Research.
Qualifications:
- Bachelor’s degree in Computer Science, Software Engineering, Applied Mathematics, or a related quantitative field.
- 3-5 years of hands-on software engineering experience with proficiency in Java or Python, combined with modern full-stack web technologies (e.g., React, TypeScript, FastAPI, Spring Boot).
- Practical experience building Gen AI applications using Google ADK, LangGraph, or equivalent agentic frameworks, vector databases, and AWS Bedrock.
- Experience implementing evaluation pipelines and prompt testing with Braintrust, AgentCore Eval, equivalent technologies, or custom benchmark harnesses.
- Working knowledge of core AWS services, including Lambda, ECS/Fargate, S3, EventBridge, CloudWatch, and API Gateway.
- Solid understanding of standard SDLC tooling, automated testing, Git, Docker, and CI/CD automation.
Nice to have:
- Exposure to financial domain data, investment research workflows, or enterprise content authoring tools.
- Practical understanding of token optimization, prompt caching, and latency reduction strategies.
- Familiarity with guardrail frameworks defending against prompt injection and unauthorized data access.
- Experience building asynchronous or event-driven microservices across polyglot Java and Python stacks.
The role:
At Goldman Sachs, our Engineers don’t just make things – we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Drive new businesses, redefine finance using AI, and seize opportunities at market speed.
Goldman Sachs Global Investment Research (GIR) is seeking an Agentic Systems Engineer to build, enhance, and productionize intelligent research tools and automated agentic pipelines. You will collaborate with senior engineers to develop end-to-end full-stack applications, implement advanced RAG components, and integrate AI services into mission-critical GIR platforms.
What you'll do:
- 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.
Preferred Qualifications:
Please note we will only respond to applications for which we have an interest.
Visa sponsorship: check with employer.
Associate Software Engineer – Global Investment Research Goldman Sachs in Birmingham employer: Abundant Code
Capgemini is an exceptional employer, offering a dynamic work environment in London that fosters innovation and collaboration within the Energy & Utilities sector. With a strong commitment to employee wellbeing, extensive training opportunities, and a culture that prioritises inclusivity and talent development, Capgemini empowers its employees to drive meaningful change through data and AI. As a leader in ethical business practices, the company not only supports career growth but also encourages exploration and continuous learning, making it an attractive place for professionals seeking impactful and rewarding careers.
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We think this is how you could land Associate Software Engineer – Global Investment Research Goldman Sachs in Birmingham
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We think you need these skills to ace Associate Software Engineer – Global Investment Research Goldman Sachs in Birmingham
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Abundant Code.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Abundant Code and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Abundant Code
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Abundant Code uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
