AI Software 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

Join Trilogy's quest for tech pioneers who are eager to redefine software development with AI as their trusted ally. Here, routine takes a backseat, and innovation drives the journey. With AI at your side, your coding prowess will reach unparalleled heights, enabling you to craft code with wizard-like precision, outsmart bugs before they surface, and deliver solutions that astonish our users.

This role is your chance to challenge the limits of software innovation. You'll play a pivotal role in developing AI tools that simplify complex ideas, leveraging cutting-edge technology to elevate your coding skills to superhero status. Your mission is to enhance our enterprise software offerings, ensuring they remain at the forefront of innovation, user delight, and overall excellence.

At Totogi, we value ambitious, inquisitive, and forward-thinking individuals ready to venture into uncharted territories. We're paving the way for a new work paradigm, with AI leading the charge. Are you ready to embark on this adventure?

What you will be doing

  • Craft and integrate backend AI agents utilizing frameworks like Python LangChain to handle natural language inputs and interact with APIs seamlessly.
  • Build AI-powered frontend interfaces for engaging user interactions, including chatbots and browser extensions.
  • Conceptualize and implement AI-driven features to automate tasks, such as generating custom reports.

What you will NOT be doing

  • Routine upkeep and debugging of outdated systems.
  • Manual testing and quality assurance duties.
  • Managing infrastructure tasks, like server setup or network configuration.

Key responsibilities

  • Lead the integration of AI into our development workflow, establishing new benchmarks for innovation, efficiency, and customer satisfaction across Totogi's product range.

Candidate requirements

  • Proficiency with various LLM architectures and the skill to choose the optimal model for specific applications.
  • Capability to incorporate LLMs into DevOps workflows.
  • Experience in utilizing LLMs for tasks such as code generation, code completion, and automated code review.
  • Skill in integrating vector databases with LLMs for purposes like question answering or information retrieval.

Meet a successful candidate

Watch Interview
Fabiano Lucchese
Fabiano  |  SVP of Software Engineering
Brazil  

Does your company encourage your natural creativity? This Brazilian engineering leader rediscovered his purpose after unleashing both his an...

Meet Fabiano

Applying for a role? Here’s what to expect.

Crossover's skill assessment process combines innovative AI power with decades of human research, to take the guesswork, human bias, and pointless filters out of recruiting high-performing teams.

Pass Cognitive Aptitude Test.
STEP 1

Pass Cognitive Aptitude Test.

Pass English Proficiency Test.
STEP 2

Pass English Proficiency Test.

Prove Real-World Job & AI Skills.
STEP 3

Prove Real-World Job & AI Skills.

Ace An Interview Or Two.
STEP 4

Ace An Interview Or Two.

Accept Job Offer.
STEP 5

Accept Job Offer.

Frequently asked questions

About Crossover

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Why Crossover

Recruitment sucks. So we’re fixing it.

The Olympics of work

The Olympics of work

It’s super hard to qualify—extreme quality standards ensure every single team member is at the top of their game.

Premium pay for premium talent

Premium pay for premium talent

Over 50% of new hires double or triple their previous pay. Why? Because that’s what the best person in the world is worth.

Shortlist by skills, not bias

Shortlist by skills, not bias

We don’t care where you went to school, what color your hair is, or whether we can pronounce your name. Just prove you’ve got the skills.

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