Overview
Are you ready to be at the forefront of the AI revolution? We're not just talking about AI – we're revolutionizing how it's applied in the real world. At Trilogy, we're seeking visionaries who don't just use Large Language Models (LLMs), but breathe them.
Picture yourself in an environment where AI isn't just a buzzword, but a powerful tool you'll wield to transform business operations. We're not caught up in the AI hype cycle – we're creating tangible solutions that make a real difference. Your AI expertise won't be confined to theoretical discussions; it will be the driving force behind innovative tools that reshape how businesses function.
This isn't your typical software engineering role. Here, you'll be pioneering the next generation of AI-powered productivity tools, where your creative solutions will directly impact business efficiency and effectiveness. No red tape, no endless meetings – just pure innovation and measurable results.
What you will be doing
- Craft cutting-edge AI automation solutions that transform complex business processes into streamlined, efficient operations
- Pioneer the integration of advanced AI technologies, including GPT-4 Vision and Amazon CodeWhisperer, pushing the boundaries of what's possible in development
- Architect and optimize AI implementations across AWS infrastructure, ensuring robust, scalable, and seamless performance
What you will NOT be doing
- Getting bogged down in conventional coding - our AI ecosystem handles the heavy lifting, leaving you free to focus on strategic innovation
- Monotonous, repetitive work - each challenge brings unique opportunities for creative problem-solving
Key Responsibilities
Your core mission will be to conceptualize and implement advanced AI systems that operate autonomously, creating scalable solutions that transform business operations without requiring human intervention.
Candidate Requirements
- A proven AI-first approach to problem-solving (AI should be your first tool of choice, not an afterthought)
- 5+ years of professional experience in the field
- Strong command of Python and AWS technologies
- Hands-on experience with modern AI coding assistants (Github Copilot, Cursor.sh, v0.dev)
- Demonstrated success in implementing GenAI solutions with measurable business impact
- Practical experience in utilizing various LLM APIs (GPT, Claude, Mistral) for business applications
This position is also known as:
- AI Specialist
- AI Analyst
- Machine Learning Specialist
- Machine Learning Engineer
- Python Developer
- Artificial Intelligence Engineer
- Developer
- Software Development Engineer
