Software Development Engineer

Salary: £63,000 - 103,000 per year

Requirements:

• 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, building evals and guardrails as a first-class part of the work.
• Strong communication skills, with the ability to 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 ambiguity in a large, regulated organization, with judgment to make trade-offs between scope, speed, and quality.
• Bachelors degree in computer science, Engineering, or a related technical field, or equivalent practical experience.
• Experience implementing security, privacy, and compliance controls in production systems, such as 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 such as pgvector, Pinecone, Weaviate, or Chroma, and agent or orchestration frameworks such as 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.

Responsibilities:

• Partner directly with business partners to understand workflows, scope high-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 by defining acceptance criteria up front, building evaluation harnesses, and measuring 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 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 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, 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 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.

Technologies:

• AI
• Architect
• CI/CD
• Cloud
• IAM
• Support
• LLM
• MLOps
• Python
• RAG
• Security
• LESS

More:

We are Capital Group, with more than 9,000 associates across 30+ offices around the world, and we are committed to fostering belonging, respecting diverse perspectives, and living our core values of Integrity, Client Focus, Diverse Perspectives, Long-Term Thinking, and Community. This full-time Software Engineer - Senior role is based in London. We offer a highly competitive base salary, annual performance bonus, annual profitability bonus, a retirement plan with a 15% company contribution to eligible earnings, generous time-away and health benefits from day one, flexible work options, charitable matching gifts, annual grants for organizations you support, and access to on-demand professional development resources. We are an equal opportunity employer and provide a culture, compensation, and opportunities designed to help our associates build successful and prosperous careers.

last updated 36 week of 2026