Lead AI 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 industry faces persistent challenges with project delays and budget overruns, with approximately one-third of initiatives missing their original deadlines due to reliance on legacy methodologies. In this landscape, conventional development approaches fall short of addressing the accelerating demand for faster delivery, enhanced reliability, and superior software quality.
IgniteTech distinguishes itself through the implementation of advanced Generative AI technologies that fundamentally transform software development processes. This position extends far beyond typical AI use cases aimed at incremental gains; it centers on driving large-scale, strategic initiatives that harness AI to dramatically elevate efficiency and innovation organization-wide. As the successful candidate, you will design and implement AI-powered systems that compress development cycles, minimize defects, and produce solutions with exceptional scalability, establishing new benchmarks for the industry.
This position is designed for candidates who have:
- Developed code components to embed state-of-the-art LLMs into production applications (e.g., automated customer support, API connectivity)
- Augmented legacy platforms with predictive analytics or recommendation engines through automated AI methodologies
- Leveraged AI to efficiently resolve recurring bug patterns and feature requests (e.g., live language translation or dynamic content personalization)
This opportunity is intended exclusively for seasoned professionals who have delivered measurable Generative AI solutions in operational environments. Candidates without demonstrated execution of similar tasks should not apply.
What you will be doing
- Developing Novel AI Products and Capabilities: Fine-tune LLMs to deliver entirely new AI-driven products and discrete modules for integration into current solutions or as the foundation for new offerings, exemplified by our team's recent work on www.eloquens.ai
- Streamlining Internal Operations: Implement sophisticated AI methodologies to automate internal workflows and operational tasks
Key responsibilities
- Drive accelerated product delivery and elevated customer satisfaction through ongoing AI-powered enhancements
Candidate requirements
- AI-First Mindset (candidates whose default approach is manual coding followed by AI verification or refinement, rather than AI-led development, should not apply)
- Minimum 1 year of full-stack development experience (proficiency in both front-end and back-end programming is mandatory)
- Extensive hands-on experience with GenAI code assistants (e.g., Github Copilot, Cursor.sh, v0.dev)
- Demonstrated track record of successfully deploying Generative AI solutions with measurable, significant quantitative outcomes
- Proven experience applying multiple LLMs (e.g., GPT, Claude, Mistral) to address business challenges
- Strong understanding of the rationale and criteria for selecting specific LLM models for varied use cases
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