Senior AI Engineer - Agentic AI for Trading Surveillance

LUXOFT INFORMATION TECHNOLOGY (SINGAPORE) PTE. LTD.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Luxoft Information Technology (Singapore) PTE. LTD. is seeking AI Engineers to build agentic AI use cases for trading surveillance.

You will design, develop, and maintain full-stack Python applications, and optimize RAG systems with vector databases and knowledge stores. The role requires strong data engineering skills, multi-cloud infra, and experience with LangChain, LLMs, and modern data pipelines. You will implement APIs, CI/CD for AI apps, monitor production performance, and design ETL/ELT

Qualifications

• Minimum of 6 to 9 years of experience in AI/ML solution implementation
• Minimum of 3 years of experience in Data Engineering (data pipelines, ETL/ELT, data warehousing, batch/streaming processing)
• AI & ML Skills
• Multi-Agent System Design & Orchestration
• Full-stack AI Integration (Frontend to Backend)
• Multi-Cloud AI Infrastructure (AWS Bedrock, Vertex AI, Azure AI, Snowflake Cortex)
• Advanced Prompt Engineering & LLM Fine-tuning
• Agentic Retrieval Augmented Generation (RAG)
• AI Safety, Guardrails & Governance
• Enterprise Application Integration & AI Orchestration
• Semantic Modeling & Knowledge Graph Construction
• High-Scale Vector Database Management
• LLM Observability, Evaluation & Monitoring (LLMOps)
• Data Engineering Skills
• Data pipeline design & orchestration (Apache Airflow, Prefect, Dagster)
• ETL/ELT development and optimization
• Data warehousing & lake architecture (Snowflake, BigQuery, Redshift, Databricks)
• Batch and streaming data processing (Spark, Kafka, Flink)
• Data modeling and schema design
• SQL proficiency and query optimization
• Main Technologies
• Python (FastAPI / Pydantic)
• LangChain & LangGraph
• Edio & Render (Deployment & Hosting)
• Streamlit & Gradio (UI/UX for AI)
• OpenAI & Open-Source Models (Llama 3, Mistral)
• Vector Databases (Pinecone, Milvus, Weaviate)
• Cloud Platforms: AWS Bedrock, Google Vertex AI, Azure AI Studio
• LLM Monitoring Tools (LangSmith / Arize Phoenix)
• Data Tools: Apache Spark, Airflow, Kafka, dbt, Snowflake

Responsibilities

• Design, develop, and maintain full-stack Python applications with modern frontend frameworks
• Build and optimize RAG (Retrieval-Augmented Generation) systems for AI applications
• Create and implement efficient vector databases and knowledge stores
• Develop APIs that connect frontend interfaces with backend AI services
• Implement and maintain CI/CD pipelines for AI applications
• Monitor application performance and troubleshoot issues in production
• Design and maintain data pipelines, ETL/ELT workflows, and data infrastructure to support AI and analytics workloads

Skills

AI/ML expertise

Data engineering

Full-stack AI

RAG systems

Multi-cloud

LangChain

Python

ETL/ELT

Data warehousing

LLMOps

Tools

Airflow

Dagster

dbt

Snowflake

Spark

Kafka

Job description

Luxoft Information Technology (Singapore) PTE. LTD. is seeking AI Engineers to build agentic AI use cases for trading surveillance.

You will design, develop, and maintain full-stack Python applications, and optimize RAG systems with vector databases and knowledge stores. The role requires strong data engineering skills, multi-cloud infra, and experience with LangChain, LLMs, and modern data pipelines. You will implement APIs, CI/CD for AI apps, monitor production performance, and design ETL/ELT