AI Engineer

3 semanas atrás


Manaus, Brasil AgileEngine Tempo inteiro

Join to apply for the AI Engineer (Senior) ID34931 role at AgileEngine .

AgileEngine is one of the Inc. 5000 fastest-growing companies in the US and a top-3 ranked dev shop according to Clutch. We create award-winning custom software solutions that help companies across 15+ industries change the lives of millions.

If you enjoy a challenging environment working with top talent and are encouraged to learn and experiment daily, this is the place for you

What You Will Do
  • Develop and implement AI models, specifically LLMs, to extract key information from energy contracts and invoices.
  • Collaborate with the Senior FullStack Developer to integrate AI models into the overall software solution.
  • Work closely with the Designer to ensure AI functionalities align with user experience goals.
  • Participate in the full lifecycle of AI model development.
  • Ensure data privacy and security in all AI-related processes and outputs.
  • Connect extracted data to external APIs to enhance functionality and value.
  • Perform continuous testing, validation, and optimization of AI models to ensure accuracy and efficiency.
  • Provide technical documentation and support for the developed AI solutions.
Must Haves
  • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
  • +4 years of experience with AI/ML frameworks such as TensorFlow, PyTorch, or similar.
  • Proficiency in programming languages such as Python.
  • Experience with LLMs and NLP techniques.
  • Strong understanding of data privacy and security best practices.
  • Familiarity with integrating AI models into fullstack applications.
  • Ability to work in an agile environment and collaborate effectively with cross-functional teams.
  • Excellent problem-solving skills and attention to detail.
  • Strong communication skills, both written and verbal.
  • Upper-Intermediate English level.
Nice to Haves
  • Familiarity with frontend technologies such as React.
  • Experience with cloud platforms like AWS, GCP, or Azure.
Benefits
  • Professional growth: Mentorship, TechTalks, and personalized growth roadmaps.
  • Competitive compensation: USD-based salary, education, fitness, and team activity budgets.
  • Exciting projects: Work with Fortune 500 companies and leading brands.
  • Flextime: Flexible work schedules, including remote options.

Remember to check your email and complete your registration on our Applicant Site to proceed with your application. Incomplete registration will terminate your process.

Additional Details
  • Seniority level: Mid-Senior level
  • Employment type: Full-time
  • Job function: Information Technology
  • Industries: IT Services and IT Consulting
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