Artificial Intelligence Engineer, IgniteTech (Remote) - $60,000/year USD

Crossover Vancouver, BC $60,000/year USD Fulltime

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Summary

Remote role focused on building and implementing Generative AI and LLM solutions, including fine-tuning and internal workflow automation.

Highlights

Experience
Minimum 1 year software engineering
Type
Full-Time

Job description

Ready to revolutionize the software development landscape? At IgniteTech, we're tackling one of tech's biggest challenges head-on: the persistent problem of project delays and budget overruns that plague nearly 33% of software initiatives.

We're not just implementing AI – we're reimagining software development from the ground up through cutting-edge Generative AI technologies. This isn't your typical AI engineering role; it's an opportunity to architect transformative solutions that will reshape how software is built, tested, and deployed.

You're our ideal candidate if you've:

  • Successfully integrated advanced LLMs into real-world applications
  • Transformed legacy systems with AI-powered predictive capabilities
  • Leveraged AI to create automated solutions for recurring development challenges

Note: This position demands hands-on experience with Generative AI implementations. If you're still theoretical in your AI journey, this might not be the right fit – yet.


What you will be doing

  • Pioneer Next-Gen AI Solutions: Lead the charge in LLM fine-tuning to develop revolutionary AI-powered products, following the success of our www.eloquens.ai platform
  • Transform Internal Operations: Spearhead the implementation of sophisticated AI systems to streamline and optimize our internal workflows


Key Responsibilities

  • Drive measurable business impact through AI innovation, focusing on accelerating product delivery timelines and elevating customer satisfaction metrics


Candidate Requirements

  • Demonstrated AI-First Philosophy: Your default approach should be leveraging AI tools as primary solution architects rather than traditional code-first methodologies
  • Professional Track Record: Minimum 1 year of proven software engineering experience with measurable impacts
  • Tool Proficiency: Deep working knowledge of modern GenAI assistants including Github Copilot, Cursor.sh, and v0.dev
  • Practical AI Experience: Verifiable success stories implementing Generative AI solutions with quantifiable business results
  • LLM Expertise: Hands-on experience working with various language models (GPT, Claude, Mistral) in solving real-world business challenges


This position is also known as:

  • GenAI Solutions Builder
  • AI Software Engineer
  • Lead AI Engineer
  • Senior AI Engineer
  • AI Architect
  • AI Specialist
  • Machine Learning Specialist

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