Field Technician ensuring effective deployment of innovative biological pest control solutions in São Paulo. Responsible for client engagement, operational monitoring, and problem resolution in field activities.
About the role
- AI Support Engineer at DANA, focusing on designing and deploying AI-powered agents and solutions. Collaborating across teams to optimize performance and ensure reliability in production environments.
Responsibilities
- Design and implement AI agents using Large Language Models (LLMs), planning algorithms, and decision-making frameworks
- Develop agent architectures that support autonomy, interactivity, and task completion
- Integrate AI agents into applications, APIs, and workflows, including chatbots, copilots, and automation tools
- Deploy, maintain, and support AI systems in production environments, ensuring reliability, scalability, and performance
- Monitor agent performance, conduct evaluations, and implement safety, guardrails, and governance mechanisms
- Optimize agent behavior through feedback loops, reinforcement learning, and user interaction analysis
- Collaborate with cross-functional teams (engineering, product, research, business) to translate use cases into AI-driven solutions
- Troubleshoot issues, analyze failures, and continuously improve system stability and accuracy
- Maintain clear and thorough documentation covering agent logic, system design, configurations, and dependencies
- Stay up to date with the latest advancements in generative AI, agent frameworks, and LLM technologies, actively pursuing continuous learning
Requirements
- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field
- Strong programming skills in Python (or similar languages) with hands-on experience using AI/ML libraries and tools such as LangChain, OpenAI API, Hugging Face, PyTorch, or equivalent
- Practical experience building applications with LLMs or generative AI models
- Solid understanding of agent-based modeling, multi-agent systems, or reinforcement learning
- Familiarity with API development, backend services, and deployment pipelines
- Strong problem-solving skills and the ability to debug and optimize AI systems in production
- Ability to work independently in experimental and fast-paced environments, while collaborating effectively with cross-functional teams
- Good written and verbal communication skills, capable of explaining technical concepts to both technical and non-technical stakeholders.
Benefits
- Health insurance
- Professional development
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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