# Senior AI Engineer

**Company**: London Stock Exchange Group (LSEG)
**Experience**: senior
**Category**: Engineering
**Industry**: Finance

**Apply**: https://lseg.wd3.myworkdayjobs.com/en-US/Careers/job/PHL-Taguig-City-CitiPlaza/Senior-AI-Engineer_R0118139-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_1a3416f2-556

## Description

As a Senior AI Engineer at London Stock Exchange Group (LSEG), you will drive end-to-end design, development, and delivery of scalable, secure, high-performance software and AI solutions. You will combine deep engineering expertise with hands-on Large Language Model (LLM) integration, prompt engineering, and engineering leadership.

**Software Engineering**

- Design and implement complex services and platforms.

- Write clean, maintainable, well-tested code in Java, Python, and 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.

**Requirements**

- 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.

## Skills

### Required
- Java
- Python
- Large Language Models
- LLM integration
- prompt engineering
- Distributed systems
- microservices
- API design
- event-driven patterns
- vector stores
- caching
- streaming
- persistence strategies
- Langfuse
- experimentations frameworks
- AWS
- Azure
- GCP
- CI/CD pipelines
- containerization
- orchestration
- infrastructure-as-code
- Identity
- secrets management
- secure SDLC practices
- Metrics
- tracing
- log aggregation
- SLO/SLA design

### Nice to have
- hands-on experience building AI infrastructure
- model evaluation harnesses
- automated prompt regression
- cost optimization for AI workloads
- contributions to open-source or technical publications

---

Source: [Apply at lseg.wd3.myworkdayjobs.com](https://lseg.wd3.myworkdayjobs.com/en-US/Careers/job/PHL-Taguig-City-CitiPlaza/Senior-AI-Engineer_R0118139-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)