Hybrid AI Software Engineer — LLMs & Systems

Boston Scientific; Arden Hills (MN); Hybrid; USD 82,000 - 156,000; Full time

Job summary

Boston Scientific in Arden Hills, MN is seeking an AI software engineer to design and build scalable AI solutions across the enterprise. You will work on multi-agent workflows, tool routing, and integration with enterprise data architectures, delivering practical AI products and agent services.

The role requires hands-on experience with Python, cloud-native platforms (Azure/AWS), and modern data systems, plus a track record of delivering robust APIs and reliable deployments in a fast-moving

Qualifications

• BS/MS in CS, Engineering, Data Science or related field.
• Proven experience deploying large language model–based solutions, including retrieval-augmented generation and model integration.
• Experience with asynchronous processing and distributed queues (Celery, Kafka, SQS, RabbitMQ or Redis).
• Experience designing robust APIs.
• Ability to work autonomously in a fast-moving environment.
• Strong cloud knowledge in Azure and/or AWS.

Responsibilities

• Design modular AI components and services for multiple platforms and use cases.
• Design end-to-end multi-agent workflows with tool routing, approvals, and audit trails.
• Define data architectures for operational AI systems including ingestion, schemas, and governance.
• Build evaluations, monitoring, and tests for agentic workflows.
• Ensure performance, reliability, observability, and operational excellence.

Skills

LLM-based solutions

API design

Asynchronous processing

Cloud architectures

Python

Data science

Education

Bachelor's or Master's degree in computer science, engineering, data science or a related technical field

Tools

Celery

Kafka

SQS

RabbitMQ

Redis

Job description

Boston Scientific in Arden Hills, MN is seeking an AI software engineer to design and build scalable AI solutions across the enterprise. You will work on multi-agent workflows, tool routing, and integration with enterprise data architectures, delivering practical AI products and agent services.

The role requires hands-on experience with Python, cloud-native platforms (Azure/AWS), and modern data systems, plus a track record of delivering robust APIs and reliable deployments in a fast-moving