Staff AI Engineer responsible for generative AI solutions for conversational products and operational efficiency at Stone Co. Engaging in technical leadership and collaboration between science and engineering.
About the role
- AI Engineer developing AI agents powered by LLMs for Burai's workflow management SaaS platform. Working on backend development and AI integration to optimize user interactions.
Responsibilities
- Develop AI agents capable of handling tasks like prioritization, resource allocation, and timeline updates, while enabling them to communicate and learn.
- Integrate LLMs into these agents to improve contextual understanding, decision-making, and user interactions.
- Develop prompts, strategies, and systems that optimize LLM outcomes.
- Create intelligent workflows that adapt dynamically based on user inputs, patterns, and system insights.
- Design and build scalable backend services on AWS to support the deployment, integration, and operation of AI agents.
- Develop and maintain knowledge bases using vector embeddings.
- Prototype and experiment with cutting-edge generative AI techniques to push the boundaries of what’s possible with Burai’s platform.
- Continuously test and refine AI agents to improve accuracy, response quality, and scalability.
Requirements
- A bachelor’s degree (or equivalent) in Computer Science, Engineering, Information Systems, or a related field.
- 2+ years of experience in software engineering, with a focus on backend development and AI/ML integration.
- Experience in developing processes based on generative AI models, with hands-on experience with Large Language Models (LLMs).
- Experience working with vector databases such as Qdrant, Weaviate, Milvus, Chroma or similar.
- Strong proficiency in backend programming languages (e.g., Python, Node.js or Go).
- Knowledge of AI/ML frameworks and libraries (e.g., Langchain, Hugging Face). TensorFlow, PyTorch nice to have.
- Familiarity with building and optimizing APIs and handling large-scale data processing.
- Proficiency in both relational and NoSQL (e.g., PostgreSQL, Neo4j, MongoDB).
- Understanding of best practices in software development, including CI/CD pipelines, version control, and testing strategies.
- Fluency in English, the company’s working language.
Benefits
- Competitive salary and stock options in the company (we want you to have ownership in the business!)
- A chance to communicate your own ideas, bring them to life, and see them have a real impact on the company
- Support for growing your career through mentorship and an educational budget
- Paid lunch in a local restaurant when working from the office
- Subsidized multisport card
- Top-of-the-line equipment
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Forward Deployed AI Engineer assisting enterprises with Adaptive Engine deployments for generative AI. Collaborating with technical teams to enhance customer success and model performance.
AI Engineer responsible for building and deploying fullstack AI features for clinical applications. Collaborate closely with product leads at Heidi to enhance healthcare delivery through technology.
AI Engineer developing innovative AI solutions for stakeholder intelligence at TSC. Designing data pipelines and optimizing ML models in a collaborative environment.
AI Engineer developing intelligent data pipelines and multi - agent workflows in Vietnam. Collaborating with the Singapore hub to deliver impactful stakeholder intelligence results.
AI Platform/ Model Developer at Mars leveraging AI to enhance North America Supply Chain efficiency and resilience. Collaborating with various teams to design and implement scalable AI capabilities.
Principal AI Engineer leading platform engineering and AI enablement initiatives at Humana, driving strategy for AI tools and products while collaborating with cross - functional partners.
AI Engineer at Worldia creating and deploying AI workflows for travel agencies. Collaborating cross - functionally with product, data, and engineering teams to solve concrete problems.
Design and build an agentic AI platform to manage renewable energy certificates and automate related workflows. Collaborate across teams to integrate the platform, optimize user onboarding, and iterate based on feedback and metrics.
AI Engineer - Consultant developing and integrating AI solutions for clients. Working in a hybrid model to support their journey towards data - driven processes.