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Ai Engineer

  • ... Posted on: Nov 07, 2025
  • ... TrinityTech
  • ... Burlington, Massachusetts
  • ... Salary: Not Available
  • ... Full-time

Ai Engineer   

Job Title :

Ai Engineer

Job Type :

Full-time

Job Location :

Burlington Massachusetts United States

Remote :

No

Jobcon Logo Job Description :

What You'll Do:

  • Spearhead full-stack data & ML pipelines for sensor, video, and telemetry data powering real-time robotics and vision systems.
  • Design scalable infrastructure with strong foundations-schema, lineage, validation, and anomaly detection for embedded AI.
  • Integrate edge intelligence, observability, & feedback loops into robotics and perception.
  • Set technical standards, mentor talent, and align architecture to real-world product goals.

Valued Experience:

  • 10+ years driving data infra, ML systems, or end-to-end AI engineering at scale.
  • Hands-on with orchestration tools, feature stores, and cloud infra (AWS, GCP, Azure).
  • Deep software engineering skills (Python, Scala, Java) & streaming frameworks (Spark, Flink).
  • Background with robotics, CV data, and edge deployment preferred.
  • Be the visionary who delivers intelligence to robots at scale. Apply today-Lead and Build tomorrow's physical AI.
  • Hands-on and Strategic software architecture and software development expertise for a Physical product-robotics or Industrial automation.
  • Thrive in a highly dynamic growth stage company!
  • Experience with Large industrial robotics/industrial automation/manufacturing of interest

Jobcon Logo Position Details

Posted:

Nov 07, 2025

Employment:

Full-time

Salary:

Not Available

Snaprecruit ID:

SD-CIE-79f02ccba65ed7e9b32772e5e62599da0909fc997fee9b902a1dbb2575945870

City:

Burlington

Job Origin:

CIEPAL_ORGANIC_FEED

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What You'll Do:

  • Spearhead full-stack data & ML pipelines for sensor, video, and telemetry data powering real-time robotics and vision systems.
  • Design scalable infrastructure with strong foundations-schema, lineage, validation, and anomaly detection for embedded AI.
  • Integrate edge intelligence, observability, & feedback loops into robotics and perception.
  • Set technical standards, mentor talent, and align architecture to real-world product goals.

Valued Experience:

  • 10+ years driving data infra, ML systems, or end-to-end AI engineering at scale.
  • Hands-on with orchestration tools, feature stores, and cloud infra (AWS, GCP, Azure).
  • Deep software engineering skills (Python, Scala, Java) & streaming frameworks (Spark, Flink).
  • Background with robotics, CV data, and edge deployment preferred.
  • Be the visionary who delivers intelligence to robots at scale. Apply today-Lead and Build tomorrow's physical AI.
  • Hands-on and Strategic software architecture and software development expertise for a Physical product-robotics or Industrial automation.
  • Thrive in a highly dynamic growth stage company!
  • Experience with Large industrial robotics/industrial automation/manufacturing of interest

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