Remote-AI Engineer

Insight Global
Marlborough, MA, United States
2 months ago
Apply on juju.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$20,800.0 - $31,200.0
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence ARM Architecture Information Engineering Snowflake

Requirements

5+ years in Data Engineering with strong experience building scalable pipelines.

Hands-on experience with Cortex AI, Snowflake, and modern AI frameworks (LangChain, LangGraph, etc.).

Proven ability to deliver end-to-end AI or data projects from ideation to production.

Strong communication skills and comfort in client-facing environments.

About the company

Insight Global is looking for a AI Engineer for a global medical device client. This candidate will design, build, and deploy end-to-end AI solutions leveraging Cortex AI on top of Snowflake. This role blends deep technical execution with strong client-facing communication, working across diverse business domains to identify high-value use cases, build intelligent agents, and deliver measurable outcomes. The ideal candidate brings a data engineering background (5+ years), hands-on experience with AI pipelines, and a passion for experimentation in a rapidly evolving space. Compensation: $10 - 15/hr. Exact compensation may vary based on several factors, including skills, experience, and education.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on juju.com
Prepare application

Good distractions

Talks and stories from around this role β€” technically off-topic, practically not.

1:33 min

Integrating internal APIs and maintaining data sovereignty

Mahran Meißner Mahran Meißner · World Congress 2026 Europe

1:30 min

Arm architecture and growing compute requirements for machine learning

Andrew Wafaa Andrew Wafaa Β· World Congress 2025

3:46 min

Core terminology and audiences for interpretable artificial intelligence

Karol Przystalski Β· LIVE

2:14 min

Exploring internal AI product initiatives and global engineering roles

Maria Apazoglou Β· Coffee With Developers

2:46 min

Transforming data architecture from on-premise to cloud

Sandhya Menon Sandhya Menon Β· World Congress 2026 Europe

2:12 min

Navigating technical clarity as a global black belt

Chris Heilmann +2 Β· LIVE

Videos

See all

Related articles

See all