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Mid-level AI role in metro with niche agentic specialization implies moderate competition.
Specialized agentic AI skills are transferable across industries but still require specific ML/LLM experience.
Explicit 3+ years plus mandatory Python, agentic frameworks, LLM/RAG expertise creates strict filters.
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Architect, build, and deploy scalable enterprise-grade AI agents for clients in digital banking.
Adapt software engineering practices for AI agents to manage non-deterministic behaviors, natural language, and LLM dependencies.
Collaborate with customers and product teams to identify unmet needs and influence the evolution of AI agent development and the Backbase platform.
Minimum 3 years experience building agentic AI applications.
Proficient in Python and experienced with AI agent frameworks, architectures, design patterns, knowledge-bases, AI search, retrieval-augmented generation, context engineering, evaluation, and guardrailing.
Experience with modern AI agent patterns such as MCP, A2A, ACP.
Work Experience Required: Minimum 3 years in building agentic applications.
Tech-savvy AI engineer able to design modular, collaborative AI agent systems that adapt dynamically to context.
Experienced in enterprise and client-facing roles influencing product and platform development based on user feedback.
Comfortable working in fast-paced environments requiring proactive problem-solving and strong cross-team communication.