AI Engineer – Financial Services Hybrid

AI Engineer – Financial Services Remote / Hybrid

About RiskSpan

RiskSpan is a leading source of analytics, modeling, data, and risk management solutions for the Consumer and Institutional Finance industries. We serve banks, issuers of mortgage- and asset-backed securities, asset managers, servicers, and regulators with cutting-edge technology and deep domain expertise across credit, market, and operational risk.

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Position Overview We are seeking a hands-on AI Engineer to design, build, and deploy production-grade AI applications using AWS Bedrock, RAG architectures, and agent-based workflows. This role focuses on building real-world AI systems- chatbots, data analysis agents, and workflow automation solutions, integrating enterprise data and delivering scalable, reliable applications in AWS. The ideal candidate brings strong Python skills, cloud-native engineering experience, and a track record of shipping production AI systems end-to-end.

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Key Responsibilities

• Design, build, and deploy AI-powered applications including chatbots, knowledge assistants, and workflow automation agents.
• Implement end-to-end solutions covering data ingestion, transformation, prompt orchestration, model interaction, and cloud deployment.
• Integrate AI systems with internal APIs, enterprise platforms, and data pipelines.
• Design agent workflows with tool/function calling, branching logic, retries, and fallback handling.
• Implement human-in-the-loop and approval-based workflows for regulated financial use cases.
• Build multi-agent systems for validation, refinement, and complex task decomposition.
• Design and implement RAG pipelines covering chunking, embeddings, retrieval, and grounding.
• Work with structured and unstructured data using SQL, S3, and data pipeline tools.
• Leverage AWS services (S3, Glue, Redshift, Lambda, ECS, Step Functions, SQS/SNS) for storage, transformation, and orchestration.
• Monitor and improve AI systems for accuracy,...