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
Description
The software industry faces persistent challenges with schedule adherence and budget discipline, with approximately one-third of all projects missing their planned timelines due to legacy methodologies. In this landscape, conventional development approaches fall short of addressing the accelerating need for faster delivery, enhanced reliability, and superior software quality.
IgniteTech distinguishes itself through the strategic deployment of advanced Generative AI capabilities that transform core software engineering practices. This position transcends typical AI use cases centered on incremental gains; it involves leading large-scale, transformative initiatives that harness AI to drive substantial improvements in both operational efficiency and technical innovation. In this capacity, you will design and implement AI-powered architectures that compress development cycles, minimize defects, and enable solutions with exceptional scalability, establishing new benchmarks for the industry.
This position is ideal for candidates who have:
- Developed code modules that embed state-of-the-art LLMs into software systems (e.g., intelligent customer service bots, API-level integrations)
- Augmented legacy platforms with automated AI capabilities for predictive analytics or tailored recommendations
- Applied AI to efficiently resolve recurring defects and feature demands (e.g., dynamic language translation or adaptive content personalization)
This position is designed exclusively for seasoned professionals with a proven track record of deploying high-impact Generative AI solutions in production environments. Candidates without direct experience executing such initiatives should not apply.
What you will be doing
- Developing New AI-Driven Products and Capabilities: Fine-tune and deploy LLMs to build novel AI-powered products and discrete modules that integrate seamlessly into current solutions or serve as the core of new offerings, exemplified by our recent launch of 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 sustained AI-powered enhancements
Candidate requirements
- AI-First Approach (if you instinctively begin by writing code manually and then apply AI tools for validation or refinement, rather than leading with AI, this role is not suitable for you)
- A minimum of 1 year of full-stack development experience (proficiency in both front-end and back-end programming is required)
- Extensive hands-on experience with GenAI code assistants (e.g., Github Copilot, Cursor.sh, v0.dev)
- Demonstrated success implementing Generative AI solutions that produced measurable, significant business impact
- Proven experience applying multiple LLMs (e.g., GPT, Claude, Mistral) to address practical business challenges
- A solid grasp of the rationale and criteria for selecting appropriate LLM models for varied use cases
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