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LSEG is seeking an AI Engineer specialized in applied generative AI to join their Digitalisation team in Colombo, Sri Lanka. The ideal candidate will have hands-on experience with production-ready AI systems, particularly with Large Language Models, and will work on modernizing workflows in the Capital Markets.
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Job Summary
Design, develop, and deploy LLM-powered features and applications using Amazon Bedrock.
Build and maintain RAG pipelines, agent workflows, and prompt-based solutions using frameworks such as LangChain, LangGraph, or LlamaIndex.
Contribute to the reliability, performance, and maintainability of AI services in production.
Matching Summary
Match Score: 75
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LSEG is seeking an AI Engineer specialized in applied generative AI to join their Digitalisation team in Colombo, Sri Lanka. The ideal candidate will have hands-on experience with production-ready AI systems, particularly with Large Language Models, and will work on modernizing workflows in the Capital Markets.
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Skills & Requirements
Must-have
Production-ready AI and LLM systems
Applied generative AI
Large Language Models (LLMs)
Agent-based systems
Orchestration frameworks
Cloud-native AI services
Amazon Bedrock
LangChain, LangGraph, or LlamaIndex
AWS Lambda, Step Functions, EventBridge, ECS
ServiceNow, Snowflake, MS Teams, REST APIs
PySpark, Glue, Snowflake, Kafka/Kinesis
Responsible AI and regulatory requirements
Python skills and API development
Docker and modern software engineering practices
SQL, Spark/PySpark, Snowflake
Agile delivery environments
Nice-to-have
Financial services or regulated environments
Vector databases
AI evaluation techniques
Knowledge graphs or structured data reasoning
Continuous improvement
Cross-functional teams
Curiosity and willingness to learn
Key Requirements
Hands-on experience with LLMs
Experience deploying AI or ML systems beyond proof-of-concepts
Experience working in AWS environments
Working knowledge of SQL, Spark/PySpark, Snowflake