# Senior AI Engineer at LSEG

LSEG is hiring a Senior AI Engineer. Level rates it Builds AI ●●●●; you can [apply on Level](https://jobsbylevel.com/go/fbf9d0c6-c2c1-4aad-b7a4-40750a329fca?utm_medium=ai-agent).

AI Level 4, AI centrality 93 out of 100. PHL-Taguig City-CitiPlaza.

## Details

- Company: [LSEG](https://jobsbylevel.com/companies/lseg)
- AI level: AI Level 4 (score 93 out of 100)
- Location: PHL-Taguig City-CitiPlaza
- Posted: October 14, 2026
- Apply: https://jobsbylevel.com/go/fbf9d0c6-c2c1-4aad-b7a4-40750a329fca?utm_medium=ai-agent

## Prepare for this job

The job page lists 5 likely interview questions for this offer, with a CV checklist: https://jobsbylevel.com/jobs/senior-ai-engineer-at-lseg-627a9b

## Description

Senior AI Engineer Role Summary Serve as an AI Engineer driving end‑to‑end design, development, and delivery of scalable, secure, high‑performance software and AI solutions. Combine deep engineering expertise with hands‑on Large Language Model (LLM) integration, prompt engineering, and engineering leadership. What You'll Do Software Engineering Design and implement complex services and platforms. Write clean, maintainable, well‑tested code (Java, Python, plus other high-level languages). Perform performance tuning and root‑cause analysis of critical issues. AI & Machine Learning Leadership Design and refine prompt engineering strategies for production LLM applications Integrate, optimize, and evaluate LLMs working with retrieval‑augmented generation (RAG), Agentic AI, embeddings, vector databases and prompt management tools Lead model selection, fine-tuning, and deployment strategies for financial use cases Build and maintain AI evaluation frameworks and automated testing pipelines Performance & Reliability Champion observability, AI Ops, and real-time monitoring across distributed systems Drive resilience patterns (circuit breakers, retries, graceful degradation) for 99.99% uptime Design cost-effective AI infrastructure optimized for latency and throughput Technical Leadership & Mentorship Partner with Product, QA, Architecture, Data Science, and Compliance teams Conduct technical design reviews and elevate engineering standards across the organization Mentor senior engineers and lead architectural decisions; model technical excellence Drive technical strategy for AI adoption across multiple product lines Innovation & Research Track emerging AI/ML frameworks, techniques, and tooling Prototype and assess new approaches for production adoption Build proof-of-concepts that demonstrate business value and technical feasibility Quality & Compliance Enforce automated testing, CI/CD, and secure coding Advocate for infrastructure-as-code and continuous improvement practices Qualifications & Experience 8+ years professional software engineering. 1+ year exposure to AI / LLM solution development. Proven delivery of complex, high‑impact systems. Extensive experience in system and application architecture. Technical Skills Languages: Expert in Java and Python; exposure to additional modern languages. Architecture: Distributed systems, microservices, API design, event-driven patterns. AI / LLM: Prompt engineering, evaluation, fine‑tuning, embeddings, RAG, model deployment. Data: Vector stores, caching, streaming, persistence strategies. Tooling: Prompt management (Langfuse), experimentation frameworks. Cloud: AWS, Azure, or GCP (designing secure, scalable workloads). DevOps: CI/CD pipelines, containerization (Docker), orchestration (Kubernetes), infrastructure-as-code. Security: Identity, secrets management, secure SDLC practices. Observability: Metrics, tracing, log aggregation, SLO/SLA design. Core Competencies Advanced analytical and problem-solving ability. High technical ownership with pragmatic decision-making. Clear, concise technical communication. Continuous improvement mindset and innovation bias. Ability to operate independently while enabling team success. Nice to Have Hands-on experience building AI infrastructure (evaluation pipelines, prompt/version management, vector/embedding stores, model serving) and optimizing / fine‑tuning models for latency, quality, and cost. Experience with model evaluation harnesses and automated prompt regression. Background in cost optimization for AI workloads. Contributions to open-source or technical publications. Impact Measures Code quality and architectural longevity. Performance and reliability metrics. AI feature delivery velocity and model effectiveness. Security and compliance adherence. Mentorship and uplift of engineering practices. Career Stage: Senior Associate London Stock Exchange Group (LSEG) Information: Join us and be part of a team that values innovation, quality, and

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## Cite this page

Level. https://jobsbylevel.com/jobs/senior-ai-engineer-at-lseg-627a9b.

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