Senior Gen AI Engineer: APIs, LLMs & Data Pipelines in Mississauga

Senior Gen AI Engineer: APIs, LLMs & Data Pipelines in Mississauga

Mississauga Full-Time 133560 - 163240 $ / year (est.) On-site
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At a Glance

  • Tasks: Lead the design of scalable, API-driven solutions using Generative AI.
  • Company: Join Virtusa, a forward-thinking tech company in Mississauga.
  • Benefits: Enjoy competitive salary, health benefits, and opportunities for remote work.
  • Other info: Collaborate with cross-functional teams in a dynamic and growth-oriented environment.
  • Why this job: Make an impact by developing innovative AI solutions that shape the future.
  • Qualifications: Experience in Python, Java, API development, and LLM integration required.

The predicted salary is between 133560 - 163240 $ per year.

Virtusa in Mississauga is seeking a Lead Software Engineer to guide the design and development of scalable, API‑driven solutions with Generative AI capabilities.

You will lead cross‑functional teams to deliver innovative, API‑first architectures that meet client requirements and timelines.

Required skills include Python, Py Spark or Java, API development, and hands‑on LLM integration with prompt engineering.

Knowledge of AI frameworks and vector stores is highly valued.

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Senior Gen AI Engineer: APIs, LLMs & Data Pipelines in Mississauga employer: Virtusa

Kinetica is an exceptional employer that fosters a collaborative and innovative work culture, where your expertise in data modeling and analytics will be valued and utilized to drive impactful solutions. Located in a vibrant tech hub, Kinetica offers competitive benefits, opportunities for professional growth, and the chance to work with cutting-edge technology in an Agile environment, making it an ideal place for those seeking meaningful and rewarding employment.

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Contact Details:

Virtusa Recruitment Team

We think you need these skills to ace Senior Gen AI Engineer: APIs, LLMs & Data Pipelines in Mississauga

Python
PySpark
Java
API Development
Generative AI
LLM Integration
Prompt Engineering