AI Software 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
Nearly a third of software projects miss their original deadlines due to outdated development practices, and the industry continues to struggle with delays and budget overruns. Traditional coding methods alone can no longer keep pace with the accelerating demand for faster delivery, higher reliability, and superior software quality.
IgniteTech addresses this challenge by leveraging advanced Generative AI technologies to transform how software is built. This position is not about incremental AI enhancements or surface-level tooling—it centers on driving large-scale, strategic initiatives that harness AI to dramatically elevate both efficiency and innovation. In this role, you will design and implement AI-powered systems that compress development cycles, minimize defects, and deliver solutions with exceptional scalability, establishing new benchmarks across the software industry.
This opportunity is ideal for candidates who have:
- Built code modules that integrate state-of-the-art LLMs into production applications (e.g., customer support chatbots, API integrations)
- Augmented legacy systems with predictive analytics or personalized recommendation engines using automated AI techniques
- Leveraged AI to efficiently resolve recurring bug fixes and feature requests (e.g., real-time language translation or content personalization)
We are seeking seasoned professionals who have delivered measurable Generative AI solutions in production environments. If you have not yet executed work of this scope, this role is not a fit.
What you will be doing
- Developing AI Products and Features: Fine-tune LLMs to build new AI-powered products and discrete modules that integrate into existing platforms or serve as the foundation for entirely new offerings, as our team recently accomplished with www.eloquens.ai
- Automating Internal Workflows: Deploy advanced AI methodologies to automate internal operations and processes
Key responsibilities
- Drive faster product releases and elevated customer satisfaction through continuous AI-powered enhancements
Candidate requirements
- AI-First Mindset (if your default approach is to write code manually first and then apply AI tools for verification or refinement, rather than leading with AI, please do not apply)
- A minimum of 1 year of experience as a full-stack developer (you must possess both front-end and back-end development capabilities)
- Extensive experience working with GenAI code assistants (e.g., Github Copilot, Cursor.sh, v0.dev)
- Proven track record of successfully deploying Generative AI solutions that delivered significant quantitative impact
- Demonstrated experience applying different LLMs (e.g., GPT, Claude, Mistral) to address business challenges
- A clear understanding of when and why to select particular LLM models for various tasks
Meet the hiring manager
Applying for a role? Here’s what to expect.
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Chat-style
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Cognitive 
aptitude test.
Prove real-world 
job skills.
Interview with the hiring manager.
Pass
proctored test.
Accept job offer.
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