# Senior 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/Senior-AI-Engineer_R0114805-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_de39c931-795

## Description

We are seeking a Senior 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).

- 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
- 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
- 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

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Source: [Apply at lseg.wd3.myworkdayjobs.com](https://lseg.wd3.myworkdayjobs.com/en-US/Careers/job/PHL-Taguig-City-CitiPlaza/Senior-AI-Engineer_R0114805-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)