Senior AI Engineer

Senior AI EngineerRole OverviewWe’re looking for a Senior AI Engineer who can design, build, and operate the production infrastructure behind our AI-driven financial products. This is not a research or prototyping role—you’ll own the full lifecycle of agentic systems and data pipelines that power real trading decisions, from experiment to deployment to monitoring.You’ll work at the intersection of backend engineering, data infrastructure, and applied AI, building autonomous agents that execute business workflows, reliable RAG pipelines for financial data, and the cloud infrastructure that keeps it all running in production. If you care about stability, reliability, and shipping systems that actually work at scale, this role is for you.Key ResponsibilitiesAgentic Systems & AI InfrastructureDesign, build, and maintain autonomous AI agents that execute end-to-end business workflows in financial operationsDevelop and optimize RAG pipelines—chunking strategies, embedding models, vector search, and retrieval orchestration—for financial documents and market dataBuild and maintain tool repositories and MCP integrations for internal agentic systemsImplement AI coding workflows and LLM-powered automation to accelerate internal development velocityBackend & Data PipelinesBuild and maintain robust data pipelines for both structured market data and unstructured sources (earnings reports, news, filings, alternative data)Design and operate APIs for model serving, data access, and system integrationsWork with relational databases, distributed data systems, and vector stores to support AI and analytics workloadsEnsure data quality, lineage, and observability across all pipelinesCloud Infrastructure & OperationsDeploy and manage services on AWS (EC2, RDS, OpenSearch, S3, Lambda, and related services)Implement monitoring, logging, and alerting for production AI systemsOwn end-to-end operational workflows: experiment → deploy → monitor → iterateDesign for stability, reliability, and compliance—not chasing experimental architecturesCross-Functional CollaborationWork closely with engineers, product managers, and investment teams to translate requirements into production systemsTake ownership of projects from conception through deployment and ongoing operationsDocument technical decisions, system architectures, and operational runbooksRequirementsRequired Experience & Skills5 to 8 years of backend engineering experience in Python, with a strong track record of building production systemsProven experience building and maintaining data pipelines for both structured and unstructured dataSolid understanding of relational databases and distributed data systemsWorking knowledge of multi-agent orchestration workflow and RAGHands-on experience with AI coding tools, agentic systems, and autonomous agents that execute business workflowsExperience deploying and operating services on cloud platforms (AWS preferred: EC2, RDS, OpenSearch, S3, Lambda)Comfortable owning end-to-end workflows from experimentation through deployment and monitoringProficiency in API development and system integrationStrong problem-solving skills with meticulous attention to detailExcellent communication skills to work effectively across engineering, product, and investment teamsStrongly PreferredExperience in fintech, quantitative finance, or financial servicesKnowledge of options mechanics, equities, or currency marketsUnderstanding of financial data sources, market data feeds, and regulatory compliance requirementsTrack record of designing systems for stability and reliability over noveltyPersonal AttributesBuilder mentality—you ship working systems, not slide decksProduction-first mindset—you design for uptime, not demosHigh ownership—comfortable taking projects from idea to production with minimal hand-holdingPragmatic about AI—you know when to use a simple script vs. a multi-agent frameworkCurious about markets—genuine interest in financial markets and how technology creates edgeTeam player—can bridge technical depth with business context across stakeholders