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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Forward Deployed Engineer - AI Agents - **Company:** Parser Limited - **Location:** London, UK - **Experience:** Expert - **Salary:** £81,350.0 - **Contract:** Permanent contract - **Skills:** FactSet, Application Programming Interfaces (APIs), Artificial Intelligence, Microsoft Azure, C Sharp (Programming Language), Continuous Integration, Data Governance, Software Design Patterns, Python (Programming Language), Oracle (Applications), Parsing, Search Technologies, Software Engineering, Software Systems, TypeScript, Unstructured Data, Azure Service Bus, Data Logging, Enterprise Software Applications, Data Ingestion, Sql Optimization, ReactJS, Large Language Models, Snowflake, Multi-Agent Systems, Backend, Build Management, Kubernetes, Apache Kafka, Front End Software Development, Azure Service Fabric, Software Coding - **Published:** September 3, 2026 - **Apply:** https://www.adzuna.co.uk/jobs/details/5867250383 ## About the Role * 8+ years of software engineering experience, with a track record of shipping production-grade systems and strong architecture, testing, and engineering rigour. * Genuine full-stack expertise across Python, C#, TypeScript/React, advanced SQL, and complex data modelling, working with both structured and unstructured data. * Proven applied AI/LLM experience, shipping production solutions using RAG, embeddings/vector search, agentic workflows, evaluation frameworks, and guardrails. * Hands-on cloud and infrastructure expertise across Azure and Kubernetes (AKS), including containerisation, IaC, CI/CD, deployment, and observability. * Direct investment or financial markets experience across asset management, sovereign wealth, private equity/credit, venture capital, institutional investing, fintech, investment banking, or capital markets technology with knowledge of the investment lifecycle, investment data (IRR/MOIC, NAV, valuations, cap tables), and financial-sector confidentiality, entitlement, audit, and regulatory requirements. * Outstanding communication, autonomy, and adaptability, with the ability to work directly with senior stakeholders, navigate ambiguity, and deliver effectively under pressure and shifting priorities. Desirable Requirements: * Prior forward-deployed, solutions-engineering, or founding-engineer experience within an AI/enterprise software company, high-growth startup, consultancy, or regulated enterprise. * Experience integrating financial data providers (Bloomberg, LSEG/Refinitiv, FactSet, S&P Capital IQ, PitchBook, Preqin, MSCI), parsing financial documents at scale, and/or optimising LLM performance, cost, and latency. * Exposure to enterprise data architectures (Kafka/Event Hubs, lakehouse, Snowflake, Oracle) and experience distributed international teams. ## Description * Embed directly within investment, portfolio, risk, and corporate teams to understand workflows and decision points, translating ambiguous business problems into functional software solutions. * Lead rapid discovery and prototyping cycles, using strong hands-on coding and AI-assisted development to deliver working software early and continuously iterate based on user feedback. * Own end-to-end production vertical slices, including data ingestion and modelling, backend services and APIs, AI orchestration, frontend experiences, deployment, and operations. * Design and build production-grade AI features, including RAG across structured and unstructured investment data, agentic workflows, document intelligence, and AI-generated analytics. * Build intuitive, information-dense interfaces for investment professionals, including analytical grids, complex data visualisations, and human-in-the-loop review flows. * Deploy and operate workloads across Kubernetes (AKS) and Azure PaaS, using infrastructure as code, automated CI/CD, and instrumentation across logging, tracing, evaluation, observability, and cost. * Apply enterprise-level security, entitlement, data governance, and audit standards appropriate for a regulated and highly confidential investment environment. * Champion engineering excellence across testing, architecture, design patterns, and responsible AI evaluation, while mentoring and supporting other engineers., Parser may use AI-assisted tools during certain stages of the recruitment process to support operational efficiency. Our recruiting teams use AI to streamline note-taking and scheduling. All hiring decisions are made by people, with human review and oversight. ## Related Videos - [Watch Tests Go Brrrr! : Getting Started with Cypress in ReactJS](https://www.wearedevelopers.com/videos/282-watch-tests-go-brrrr-getting-started-with-cypress-in-reactjs) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [Agentic employees in world's most downloaded FinTech app](https://www.wearedevelopers.com/videos/100123-agentic-employees-in-world-s-most-downloaded-fintech-app) - [Nest.js - TypeScript in the backend can also be clean](https://www.wearedevelopers.com/videos/1033-nest-js-typescript-in-the-backend-can-also-be-clean) - [Azure AI Foundry for Developers: Open Tools, Scalable Agents, Real Impact](https://www.wearedevelopers.com/videos/1541-azure-ai-foundry-for-developers-open-tools-scalable-agents-real-impact) - [Meet Your New BFF: Backend to Frontend without the Duct Tape](https://www.wearedevelopers.com/videos/682-meet-your-new-bff-backend-to-frontend-without-the-duct-tape) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [ Dev Digest 213: Petrol Prices, Agentic Workflows, AI Skills and CODE100!](https://www.wearedevelopers.com/magazine/718-dev-digest-213-petrol-prices-agentic-workflows-ai-skills-and-code100) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path) - [13 AI Tools You Have to Try](https://www.wearedevelopers.com/magazine/219-13-ai-tools-you-have-to-try)