🕒 yesterday
Build and operate production ML and GenAI systems, turning prototypes into reliable product features while owning system design, evaluation, monitoring, and delivery in collaboration with product and data science teams.
Senior Analyst - AI Engineer (R-19889)
📅 Sep 3
PythonLangchainAI SolutionsData Pipelines
📜 Description
- Design, implement, and deploy AI agents and generative AI solutions using Python, with hands-on use of LangChain and related orchestration frameworks
- Build modular, scalable, and reusable agent components, including memory, planning, tool use, retrieval, and multi-modal capabilities
- Develop retrieval-augmented generation (RAG) solutions using embeddings, vector databases, and enterprise data sources
- Integrate open-source and proprietary large language models and evaluate the appropriate model for each business use case
- Collaborate with Research, Managed Services, product, data, and technology teams to translate business needs into practical AI solutions
🛠️ Requirements
- Bachelor's degree in computer science, Artificial Intelligence, Machine Learning, Data Science, Engineering, or a related field; advanced degree preferred
- 5 to 8 years of relevant experience in AI/ML engineering, software engineering, data science, or a related technical field
- Demonstrated hands-on experience implementing AI solutions using LangChain, including building and deploying working solutions
- Strong programming experience in Python and experience developing APIs, reusable services, and data pipelines
- Hands-on knowledge of agentic AI patterns, RAG, prompt engineering, embeddings, vector databases, model evaluation, and tool calling
- Experience with one or more cloud platforms such as Azure, AWS, or GCP and containerization technologies such as Docker or Kubernetes
- Experience with CI/CD, MLOps, or LLMOps practices, including testing, deployment, monitoring, and controlled releases
- Ability to explain technical decisions, solve ambiguous business problems, and collaborate effectively with cross-functional stakeholders
Full job description
Shape the Future with Dun & Bradstreet
At Dun & Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide grow, manage risk, and innovate. Since 1841, businesses have trusted us to turn uncertainty into opportunity. We’re a diverse, global team that values creativity, collaboration, and bold ideas. Are you ready to make an impact and help shape what’s next? Join us! Explore opportunities at dnb.com/careers.
The AI Engineer will design, implement, and deploy production-ready AI solutions that enable intelligent automation and strengthen business capabilities. The role focuses on building modular, scalable agentic applications using open-source and proprietary large language models, with hands-on implementation using LangChain. The AI Engineer II will develop reusable components, data pipelines, retrieval capabilities, and performance optimization strategies while partnering with business, product, data, and technology teams
Shape the Future with Dun & Bradstreet
At Dun & Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide grow, manage risk, and innovate. Since 1841, businesses have trusted us to turn uncertainty into opportunity. We’re a diverse, global team that values creativity, collaboration, and bold ideas. Are you ready to make an impact and help shape what’s next? Join us! Explore opportunities at dnb.com/careers.
All Dun & Bradstreet job postings can be found at https://jobs.lever.co/dnb. Official communication from Dun & Bradstreet will come from an email address ending in @dnb.com.
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