Totogi is on the lookout for tech trailblazers ready to dive headfirst into the next wave of software development with AI as their co-pilot. Think less routine, more innovation. Here, AI isn't just another tool—it's your sidekick, elevating your coding skills to superhero status. Imagine conjuring code like magic, predicting and squashing bugs before they even emerge, and delivering groundbreaking solutions that leave customers in awe.
This role is all about pushing the boundaries of what's possible in software development. You'll be instrumental in crafting AI tools that clarify complex concepts, employing the latest in technology to upgrade your coding skills to superhero-level. Your objective is to elevate our enterprise software solutions, ensuring they lead the market in innovation, user satisfaction, and overall experience.
Totogi values driven, curious, and innovative individuals ready to explore new horizons. We're charting a course towards a new way of working, with AI as our guide. Are you up for the challenge?
What you will be doing
Implementing AI from the ground up in projects, enhancing everything from feature development to problem-solving.
Crafting AI-generated summaries to streamline knowledge across products, domains, or corporate intelligence, boosting team efficiency.
Showcasing the power of AI in improving software development processes, emphasizing its role as a booster, not a replacement.
What you will NOT be doing
Dwelling on manual debugging. With AI, identify and resolve issues swiftly, leaving outdated methods behind.
Getting caught in the management trap. Concentrate on what you do best—coding and creating innovative solutions—rather than getting sidetracked by managerial tasks.
Key Responsibilities
Drive the integration of AI into our development process, setting new standards in innovation, efficiency, and customer satisfaction for Totogi's product suite.
Candidate Requirements
Familiarity with different LLM architectures and the ability to select the most appropriate model for specific tasks
The ability to integrate LLMs into DevOps pipelines
Experience using LLMs for tasks like code generation, code completion, and automated code review
The ability to integrate vector databases with LLMs for tasks like question answering or information retrieval
