全职 Senior AI Engineer 工作, 薪水, Luxoft 公司招聘中 - Ricebowl

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

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

Tesseract OCR