Artificial Intelligence Engineer
$60,000 USD/year Pay is set based on global value, not the local market. Most roles = hourly rate x 40 hrs x 50 weeks 

Not accepting applications on crossover.com at this time.

Description

The software sector faces a well-documented challenge: nearly a third of all projects miss their planned delivery dates, largely due to reliance on legacy methodologies. In such a landscape, conventional programming approaches fall short of satisfying the accelerating need for faster, more dependable, and superior-quality software products.

IgniteTech differentiates itself through the strategic deployment of advanced Generative AI tools that transform core software engineering practices. This position transcends typical AI use cases aimed at incremental gains; it focuses on leading ambitious, large-scale initiatives that harness AI to drive substantial improvements in both productivity and creative problem-solving. As part of this team, you will design and implement AI-powered frameworks that compress delivery cycles, minimize defects, and produce highly scalable outcomes, establishing new benchmarks across the industry.

This opportunity is ideal if you have:

  • Built code components integrating state-of-the-art LLMs into production systems (e.g., customer service bots, API connections)
  • Augmented existing platforms with predictive analytics or recommendation engines through automated AI methodologies
  • Leveraged AI to quickly resolve recurring defects and feature enhancements (e.g., real-time translation services or dynamic content customization)

This position targets seasoned practitioners who have delivered meaningful Generative AI outcomes in operational environments. If you lack hands-on experience executing work of this caliber, this role is not suited to you.

What you will be doing

  • Developing Novel AI Products and Capabilities: Fine-tune LLMs to deliver completely new AI-driven products and discrete modules that integrate smoothly into current solutions or serve as the core of entirely new platforms, similar to our recent work on www.eloquens.ai
  • Streamlining Internal Operations: Deploy sophisticated AI methods to automate internal tasks and operational workflows

Key responsibilities

  • Drive accelerated product launches and elevated customer satisfaction through ongoing AI-powered enhancements

Candidate requirements

  • AI-First Mindset (if you default to writing code manually before applying AI tools for review or refinement, rather than starting with AI, do not apply)
  • A minimum of 1 year working as a full-stack developer (proficiency in both front-end and back-end programming is mandatory)
  • Extensive hands-on use of GenAI code assistants (e.g., Github Copilot, Cursor.sh, v0.dev)
  • Demonstrated success deploying Generative AI solutions that produced measurable, significant business impact
  • Proven experience applying various LLMs (e.g., GPT, Claude, Mistral) to address operational challenges
  • A clear grasp of when and why to select particular LLM models for distinct use cases

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Fabiano Lucchese
Fabiano  |  SVP of Software Engineering
Brazil  

Does your company encourage your natural creativity? This Brazilian engineering leader rediscovered his purpose after unleashing both his an...

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