Senior AI Engineer

• Design, build, and deploy end to end, multi step agentic AI systems that replace or reimagine DBS business workflows.

• Architect agent pipelines using tool calling, memory, retrieval augmented generation, and orchestration patterns appropriate to workflow risk and complexity.

• Implement human in the loop and escalation mechanisms for high risk or low confidence decisions.

• Integrate agentic systems with enterprise data sources, internal APIs, and third party tools in compliance with security and data governance policies.

• Ensure strong data grounding, output quality, reliability, and graceful failure behavior in production systems.

• Select appropriate GenAI frameworks and manage LLM integrations, prompts, and model versions.

• Own delivery end to end from rapid prototype through pilot and production deployment.

• Work closely with process owners, domain experts, and governance partners to deliver trusted, usable solutions.

5+ years in software or related domain, featuring 2+ years specialized in AI/ML, LLM solutions, and hands-on development of agentic systems.

Strong proficiency in Python, REST APIs, prompt engineering, RAG pipelines, and agent orchestration, with experience using LangGraph (or similar) for stateful, tool-driven execution.

Experience deploying and operating LLM/agent workflows in production, including monitoring and evaluation.

Working knowledge of Azure based cloud environments, including Azure AI Foundry and Databricks, in enterprise settings.

Self-directed learner with strong problem-solving skills and practical business judgment.