Dun & Bradstreet is looking to enhance product capabilities and enable intelligent automation by designing and deploying agentic AI systems.
Requirements
Experience with agent orchestration frameworks, simulation environments, or robotics.
Experience with Python Multiprocessing
Familiarity with cloud platforms (GCP, AWS, Azure) and containerization (Docker, Kubernetes).
Strong work experience with graph data and time series as well as working knowledge of Reinforcement Learning algorithms and LLM fine tuning are pluses.
Integrate vector databases and embedding techniques to support agent memory and retrieval.
Maintain CI/CD pipelines and MLOps frameworks to enable continuous delivery of AI capabilities.
Assist fine-tuning and prompt engineering workflows to optimize agent performance across domains.
Responsibilities
Design and implement AI agents using Python, integrating both open-source frameworks (e.g., LangChain, VLLM, Ollama) and proprietary LLMs (Open AI, VertexAI, etc).
Develop modular, scalable, and reusable components for agent architecture including memory, planning, tool use, and multi-modal capabilities.
Collaborate with product teams to prototype and evaluate novel agent behaviors and learning strategies.
Support benchmarking of agent performance across tasks and environments.
Assist in identifying bottlenecks and proposing optimizations.
Build and maintain scalable data pipelines to support agent training, evaluation, and deployment.
Implement observability and monitoring frameworks to ensure agent reliability and compliance.
Other
Show an ownership mindset in everything you do; be a problem solver, be curious and be inspired to take action, be proactive, seek ways to collaborate and connect with people and teams in support of driving success.
Continuous growth mindset, keep learning through social experiences and relationships with stakeholders, experts, colleagues and mentors as well as widen and broaden your competencies through structural courses and programs.
Where applicable, fluency in English and languages relevant to the working market.
Advanced degree (MS/PhD) in Computer Science, AI, Machine Learning, or related field required.
