# Principal AI Engineer

**Company**: London Stock Exchange Group (LSEG)
**Location**: Taguig City, PHL
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Finance

**Apply**: https://lseg.wd3.myworkdayjobs.com/en-US/Careers/job/PHL-Taguig-City-CitiPlaza/Principal-AI-Engineer_R0117191-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_0f02800f-86c

## Description

We are seeking a Principal AI Engineer to 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.

**Responsibilities**

- Software Engineering: Design and implement complex services and platforms, write clean, maintainable, well-tested code (Java, Python, plus other high-level languages), and 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, and lead model selection, fine-tuning, and deployment strategies for financial use cases.

- 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, and 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, and model technical excellence.

- Innovation & Research: Track emerging AI/ML frameworks, techniques, and tooling, prototype and assess new approaches for production adoption, and build proof-of-concepts that demonstrate business value and technical feasibility.

- Quality & Compliance: Enforce automated testing, CI/CD, and secure coding, and advocate for infrastructure-as-code and continuous improvement practices.

**Requirements**

- 12+ years professional software engineering experience

- 1+ year hands-on AI / LLM solution development experience

- 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
- Distributed systems
- Microservices
- API design
- Event-driven patterns
- Prompt engineering
- Evaluation
- Fine-tuning
- Embeddings
- RAG
- Model deployment
- Vector stores
- Caching
- Streaming
- Persistence strategies
- Prompt management
- Experimentation frameworks
- Cloud
- 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
- 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

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Source: [Apply at lseg.wd3.myworkdayjobs.com](https://lseg.wd3.myworkdayjobs.com/en-US/Careers/job/PHL-Taguig-City-CitiPlaza/Principal-AI-Engineer_R0117191-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)