We value your talents, traditions, and uniqueness—and we’re committed to fostering a strong sense of belonging in a respectful workplace. We believe that belonging leads to better outcomes and a stronger community of associates united by our mission. Integrity, Client Focus, Diverse Perspectives, Long-Term Thinking, and Community. “Your performance will be reviewed annually, and your compensation will be designed to motivate and reward the value that you provide. You’ll receive a competitive salary, bonuses and benefits. Your company-funded retirement contribution will factor in salary and variable pay, including bonuses. “Enjoy generous time-away and health benefits from day one, with the opportunity for flexible work options Receive 2-for-1 matching gifts for your charitable contributions and the opportunity to secure annual grants for the organizations you love Access on-demand professional development resources that allow you to hone existing skills and learn new ones As a Software Engineer - Senior, you partner with business partners to turn ambiguous problems into working AI solutions that improve our investment process and business outcomes. You are the build-and-deploy bridge between the people who own the problem and the AI platform that powers the answer: you lead discovery, design the approach, write the code, and own it in production. This is a hands-on engineering role for someone who is as comfortable in a working session with a business team as they are building a retrieval pipeline or hardening an agent. You will help set the standard for how generative AI gets built and operated responsibly at scale across the firm. Design, build, and operate production generative AI applications such as copilots, assistants, knowledge-search experiences, and agentic workflows, as reliable, production-grade systems rather than demos. Practice eval-driven development: define acceptance criteria up front, build evaluation harnesses, and measure correctness, latency, and hallucination so quality is verifiable and regressions are caught before production. Apply FinOps and cost-optimization practices to AI workloads, tracking and managing token, inference, and infrastructure spend so solutions stay cost effective as they scale. Integrate AI solutions with enterprise data systems, APIs, and MLOps/LLMOps tooling, applying sound system design and distributed-systems judgment. Apply responsible-AI judgment proportionate to the risk of each use case, working with risk and compliance partners to build the controls, human-oversight patterns, and audit trails that let the firm move quickly and safely. Partner with InfoSec and data-governance teams to meet regulatory and internal-policy requirements such as SOC 2 and applicable data-privacy regulations. Codify what works into reusable tools, patterns, and playbooks, and feed insights back to platform, product, and engineering partners so the whole organization gets faster. Demonstrate the ability to be a full stack engineer across development environments. Required qualifications:10+ years of professional software engineering experience, with strong proficiency in Python (or a comparable modern language). Hands-on production experience building and shipping LLM-powered applications, including advanced prompt engineering, retrieval, agent development, and evaluation. Demonstrated experience designing and building end-to-end RAG pipelines and integrating LLM solutions with real systems. Strong understanding of system design, APIs, distributed-systems concepts, and cloud-native development, with a track record of owning production systems on solid architectural foundations. A disciplined approach to evaluation and testing for non-deterministic systems: you build evals and guardrails as a first-class part of the work, not an afterthought. High agency and comfort navigating the ambiguity of a large, regulated organization, with the judgment to make trade-offs between scope, speed, and quality. Bachelor’s degree in computer science, Engineering, or a related technical field, or equivalent practical experience. Experience implementing security, privacy, and compliance controls in production systems, for example IAM, encryption, audit logging, and data-governance practices, ideally in a regulated environment. Background in financial services or another regulated enterprise environment. Experience with vector databases (for example pgvector, Pinecone, Weaviate, or Chroma) and agent or orchestration frameworks (for example LangChain, LlamaIndex, or the Model Context Protocol). Experience with MLOps/LLMOps tooling such as experiment tracking, model versioning, monitoring, evaluation/observability platforms, or CI/CD for ML and LLM systems. Experience implementing responsible-AI or AI-governance controls such as guardrails, human-in-the-loop oversight, and audit trails in production. You hold high standards for code quality, testing, clarity, and reliability, and you apply engineering judgment to know which standard matters where. You can say no constructively by pushing back on scope, proposing better alternatives, and protecting quality and team capacity when it counts. You stay current as the tooling and model landscape shifts, and you help the people around you do the same. “If this role isn’t what you’re looking for, check out our other opportunities and join our talent community. “That’s why we offer a culture, compensation and opportunities that empower our associates to build successful and prosperous careers. More than 9,000 associates in 30+ offices around the world help our clients and each other grow and thrive every day. Find us on LinkedIn, Instagram, YouTube and Glassdoor. In addition to a highly competitive base salary, per plan guidelines, restrictions and vesting requirements, you also will be eligible for an individual annual performance bonus, plus Capital’s annual profitability bonus plus a retirement plan where Capital contributes 15% of your eligible earnings.You can learn more about our compensation and benefits here.* Temporary positions in the United States are excluded from the above mentioned compensation and benefit plans.We are an equal opportunity employer, which means we comply with all federal, state and local laws that prohibit discrimination when making all decisions about employment. As equal opportunity employers, our policies prohibit unlawful discrimination on the basis of race, religion, color, national origin, ancestry, sex (including gender and gender identity), pregnancy, childbirth and related medical conditions, age, physical or mental disability, medical condition, genetic information, marital status, sexual orientation, citizenship status, AIDS/HIV status, political activities or affiliations, military or veteran status, status as a victim of domestic violence, assault or stalking or any other characteristic protected by federal, state or local law.SummaryLocation: LondonType: Full time
Engineer, R&D Software Engineering in London employer: Capital Group
At Capital Group, we pride ourselves on creating a workplace that champions diversity and fosters a strong sense of belonging. Our commitment to employee growth is evident through our generous benefits, including competitive salaries, flexible work options, and extensive professional development resources. Located in London, you'll be part of a dynamic team that values integrity and collaboration, empowering you to thrive in your career while making a meaningful impact in the financial sector.
