Software Engineer - Senior

“I can be myself at work.”You are more than a job title. We want you to feel comfortable doing great work and bringing your best, authentic self to everything you do. We value your talents, traditions, and uniqueness—and we’re committed to fostering a strong sense of belonging in a respectful workplace. We intentionally seek diverse perspectives, experiences, and backgrounds, investing in a culture designed to celebrate differences. We believe that belonging leads to better outcomes and a stronger community of associates united by our mission. At Capital, we live our core values every day: Integrity, Client Focus, Diverse Perspectives, Long-Term Thinking, and Community.

“I can influence my income.” You want to feel recognized at work. 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.

“I can lead a full life.” You bring unique goals and interests to your job and your life. Whether you’re raising a family, you’re passionate about where you volunteer, or you want to explore different career paths, we’ll give you the resources that can set you up for success. 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 will:

• Partner directly with business partners to understand their workflows, scope the highest-value opportunities, and translate ambiguous needs into clear technical specifications.
• 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.
• Architect and implement end-to-end retrieval-augmented generation pipelines, including parsing, ingestion, chunking strategy, embeddings, vector storage, retrieval, and prompt management.
• Build agents and agentic workflows that plan and execute multi-step tasks within explicit, auditable boundaries, with guardrails that keep behavior safe and predictable.
• 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.
• Take end-to-end ownership from discovery and design through build, rollout, and operational excellence.
• Instrument systems with the observability, cost tracking, and audit trails needed to know when they degrade.
• 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.
• Embed security, privacy, and compliance controls into the systems you build, including identity and access management (IAM), encryption, and audit logging.
• 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.
• Produce clear documentation, runbooks, and architectural diagrams so others can understand, operate, and extend the systems you build.
• Demonstrate the ability to be a full stack engineer across development environments.

What you bring:

You operate with urgency, ownership, humility, and strong collaboration. You hold high standards for code quality, testing, clarity, and reliability, and you apply engineering judgment to know which standard matters where. You treat intent and verification as the hard part: you care less about how much code gets written and more about whether it solves the problem, holds up under evaluation, and can be owned safely in production. 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.

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.
• Strong communication skills: you can lead technical discovery, write clearly, and convey technical concepts to mixed audiences while keeping a low ego and a collaborative approach.
• 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.

Preferred qualifications:

• Background in financial services or another regulated enterprise environment.
• Experience with vector databases (e.g. pgvector, Pinecone, Weaviate, or Chroma) and agent or orchestration frameworks (e.g. 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.
• Experience mentoring engineers or setting technical standards as a senior individual contributor.

“I can learn more about Capital Group.”

At Capital Group, the success of the people who invest with us depends on the people in whom we invest. That’s why we offer a culture, compensation and opportunities that empower our associates to build successful and prosperous careers. Through nine decades, our goal is to improve people’s lives through successful investing. We know that our history is a testament to the strength of the people we hire. More than 9,000 associates in 30+ offices around the world help our clients and each other grow and thrive every day.

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.

* 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

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