L

LSEG

Global financial market infrastructure and data

Associate Tech Lead

AI Application EngineeringPosted on Nov 4
Full-timeColombo, Sri LankaNo salary listedIn-person

About the Job

Requirements

  • At least 6 years of professional software engineering experience building and delivering enterprise software solutions.
  • At least 1 year of hands-on experience designing, developing, and deploying agentic AI or AI-native solutions.
  • Strong proficiency in one or more programming languages such as Python, Java, C#, JavaScript, or TypeScript.
  • Experience working with large language models, AI frameworks, agent orchestration platforms, or retrieval-augmented generation architectures.
  • Strong understanding of software architecture, distributed systems, application programming interfaces, and cloud-native development.
  • Experience with modern development practices including continuous integration and continuous delivery, automated testing, observability, and DevOps.

Responsibilities

  • Design, develop, and deploy AI-native applications and services using modern software engineering practices.
  • Build and enhance agentic AI solutions using large language models, AI agents, orchestration frameworks, and workflow automation technologies.
  • Own the technical implementation of sophisticated features and contribute to architecture and design decisions.
  • Collaborate with engineering, platform, security, and product teams to deliver business solutions.
  • Establish and promote engineering standards, reusable patterns, and best practices for AI-native development.
  • Apply secure-by-design and responsible AI principles throughout the software development lifecycle.
  • Drive operational excellence through observability, automation, testing, and continuous improvement.
  • Mentor engineers, conduct technical reviews, and support the growth of team capabilities.
  • Evaluate emerging AI technologies and identify opportunities to accelerate business value and developer productivity.

Desired Qualifications

  • Experience building production-grade AI agents or multi-agent systems.
  • Experience with Azure AI, OpenAI, Anthropic, LangChain, RAGFlow, or similar AI development frameworks.
  • Experience implementing AI governance, responsible AI, and security controls in enterprise environments.
  • Knowledge of platform engineering, developer experience, and engineering productivity solutions.
  • Experience leading technical initiatives across multiple teams without direct people-management responsibility.

About the Company

LSEG

Global financial market infrastructure and data

LSEG provides global financial market infrastructure and data across the full value chain. It delivers data, analytics, and risk-management tools, benchmarks via FTSE Russell, regulatory and financial crime risk services, and trading, clearing, and settlement through its Capital Markets and Post Trade divisions, typically accessed via subscriptions, licensing, and fees. The company differentiates itself by offering an integrated, end-to-end platform that covers pre-trade data and analytics to post-trade processing with a broad, global footprint. Its goal is to grow over the long term by leveraging its diversified portfolio and international reach to create value for shareholders and customers.

Company size
10,001+
Company stage
IPO
Headquarters
London, United Kingdom
Founded
1801

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