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.
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