3 дня назад
Senior Agentic Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Agentic Engineer (AI/Fintech): Building and operating production AI agents that work with proprietary wealth-management data and vendor integrations with an accent on scalable architecture, observability, and safe automation in a regulated financial environment. Focus on designing agentic workflows, integrating AWS services and third-party platforms, and leading business-facing rollouts through adoption and continuous iteration.
Location: Hybrid in Dallas, Texas, United States
Company
is a fast-scaling fintech and registered investment adviser combining expert advisors with technology to deliver tailored wealth management.
What you will do
- Partner with operations teams, advisors, and business stakeholders to identify high-value workflows and prioritize agentic solutions.
- Design, build, and operate production AI agents using ’s data model, custodians, CRM, planning systems, and other vendor integrations.
- Develop scalable software with testing, code review, CI/CD, infrastructure as code, REST APIs, and event-driven architectures.
- Build monitoring, alerting, logging, evaluations, access controls, and guardrails for reliable and safe agent behavior in a regulated environment.
- Lead rollouts, train users, support adoption, and use business impact feedback to guide ongoing product iteration.
Requirements
- 5+ years of professional software engineering experience with Python, SQL, HTTP, and AWS.
- Experience designing scalable systems and building AI agents or agentic applications.
- Strong understanding of cloud and serverless architectures, with AWS Bedrock AgentCore preferred.
- Experience supporting operations teams and working directly with demanding technical and non-technical users.
- Strong software architecture, business judgment, ownership, communication, and rollout skills.
Nice to have
- Experience with Claude Code, Claude Managed Agents, Anthropic Claude Agent SDK, MCP, or LLM tool integrations.
- Experience with GCP, Vertex AI Agent Builder, Azure AI Foundry, LangGraph Cloud, or CrewAI.
- Background in wealth management, financial services, capital markets, custodial data, compliance, auditability, or access control.
- Experience with knowledge graphs and production AI agents.
Culture & Benefits
- Collaborative environment across product, design, engineering, advisors, and operations.
- Book clubs, seminars, and peer learning sessions.
- Competitive compensation package, full health benefits, 401(k) matching, and Roth IRA options.
- Unlimited paid time off and opportunities to define a growth path at a fast-scaling startup.
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