Senior Analyst - AI Engineer (R-19889)
Dun & Bradstreet2 months ago
Hyderābād, IndiaSenior
Responsibilities
- Design, implement, and deploy AI agents and generative AI solutions using Python and LangChain.
- Build scalable, reusable agent components supporting memory, planning, tool use, retrieval, and multimodal capabilities.
- Develop RAG solutions using embeddings, vector databases, and enterprise data sources.
- Integrate and evaluate open-source and proprietary large language models for business use cases.
- Build and maintain data pipelines and APIs supporting AI development, evaluation, deployment, and monitoring.
- Prototype and evaluate agent behaviors, prompt strategies, learning approaches, and tool-calling workflows.
- Benchmark performance and improve solution quality, reliability, latency, and cost.
- Implement observability, testing, evaluation, guardrails, and monitoring for reliable and responsible AI delivery.
- Maintain CI/CD and MLOps/LLMOps practices for controlled and repeatable AI delivery.
- Follow data governance, security, privacy, and intellectual property requirements.
- Collaborate with research, managed services, product, data, and technology teams and communicate technical concepts to technical and non-technical stakeholders.
Requirements
- Bachelor's degree in computer science, artificial intelligence, machine learning, data science, engineering, or a related field; an advanced degree is 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 building and deploying working AI solutions with LangChain.
- Strong Python programming experience 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 of Azure, AWS, or GCP and with 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 with cross-functional stakeholders.
- Fluency in English and any additional language relevant to the working market, where applicable.
Categories
About Dun & Bradstreet
Dun & Bradstreet builds data and analytics products that help companies assess credit, manage third‑party risk and compliance, and find customers. Its Data Cloud, business credit reports, D‑U‑N‑S Number identity, and APIs are sold as subscriptions and software to finance, procurement, and go‑to‑market teams. Founded in 1841, the company is headquartered in Jacksonville, Florida, and is publicly traded on the NYSE (ticker: DNB).