Senior GenAI Engineer in Winnipeg

Senior GenAI Engineer in Winnipeg

Winnipeg Full-Time 135000 - 165000 $ / year (est.) On-site
T

At a Glance

  • Tasks: Own AI features for grant discovery, from data ingestion to deployment.
  • Company: Fast-growing startup focused on innovative AI solutions.
  • Benefits: Competitive salary, flexible work hours, and opportunities for growth.
  • Other info: Collaborative environment with direct access to founders.
  • Why this job: Make a real impact by building agentic AI systems that help nonprofits.
  • Qualifications: Experience in AI engineering and strong problem-solving skills.

The predicted salary is between 135000 - 165000 $ per year.

Instrumentl is hiring a Senior Engineer for the AI Engineering team to own AI features for grant discovery end to end, from data ingestion to production deployment and evaluation.

You’ll work directly with founders and your pod on high-ownership problems in a fast-growing startup.

You will build agentic AI systems, manage data processing pipelines, and own RAG and ranking systems to match grants with nonprofits and foundations, while ensuring safety and observability in production.

#J-18808-Ljbffr

Senior GenAI Engineer in Winnipeg employer: The Consensus

Acceldata is an exceptional employer that fosters a culture of innovation and collaboration, making it an ideal place for a Lead Principal Engineer in Data Observability. With a commitment to employee growth, you will have the opportunity to mentor emerging talent while working alongside industry experts in a supportive environment. Located in a vibrant tech hub, Acceldata offers unique advantages such as access to cutting-edge technology and a strong emphasis on open-source contributions, ensuring that your work has a meaningful impact on enterprise data strategies.

T

Contact Details:

The Consensus Recruitment Team

We think you need these skills to ace Senior GenAI Engineer in Winnipeg

AI Engineering
Data Ingestion
Production Deployment
Evaluation
Data Processing Pipelines
RAG Systems
Ranking Systems