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