Staff AI Execution Engineer in United States at Jobgether
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Job Description
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Staff AI Execution Engineer based in the United States.
This role sits at the forefront of building and scaling next-generation AI systems that power intelligent financial advisory tools used across the wealth management industry. It focuses on designing, deploying, and optimizing agentic AI workflows that transform complex financial data into actionable, client-ready insights. The position plays a critical role in bridging advanced AI engineering with real-world financial use cases, ensuring systems are reliable, observable, and production-ready. You will work across data, product, and engineering teams to architect AI-driven services that directly impact advisor-client interactions. The environment is highly technical, fast-moving, and deeply collaborative, with a strong emphasis on innovation and engineering excellence. This is a high-impact role for a senior engineer who thrives in AI-native development and enjoys pushing the boundaries of what agentic systems can achieve at scale.
- Design, build, and deploy production-grade agentic AI systems that power advisor-facing financial intelligence products.
- Own end-to-end delivery of AI features, including agent orchestration, memory systems, evaluation frameworks, and production hardening.
- Architect scalable AI workflows that ensure reliability, observability, and performance across distributed systems.
- Develop and implement evaluation frameworks to measure, improve, and optimize agent behavior at scale.
- Leverage agentic AI tools and frameworks to accelerate development velocity and improve engineering productivity.
- Drive best practices for AI-native engineering, including prompt design, multi-agent orchestration, and context optimization.
- Collaborate with data and product teams to translate complex financial datasets into meaningful AI-driven insights.
- Mentor engineers and contribute to raising the technical bar across AI system design and delivery.
- 8+ years of software engineering experience, with deep expertise in building production-scale systems.
- Proven experience designing and shipping AI or machine learning systems into production environments.
- Strong hands-on experience with agentic AI workflows, including orchestration, memory systems, and evaluation design.
- Expertise with modern AI tooling and frameworks such as LangChain, LangGraph, GraphQL, and MCP.
- Fluency in AI-native development environments and tools (e.g., Cursor, Claude Code, Devin or similar).
- Strong understanding of evaluation methodologies for AI systems and performance measurement at scale.
- Advanced proficiency in data engineering and analysis using SQL and Python, with experience in platforms like Snowflake and dbt.
- Familiarity with distributed data and event-driven systems (e.g., Kafka, CDC pipelines, APIs) is highly desirable.
- Strong technical leadership, communication skills, and a track record of mentoring engineers and driving technical direction.
- Competitive compensation range: $200,000 – $220,000 base salary plus annual bonus target
- 4% 401(k) employer match to support long-term financial planning
- Comprehensive medical, dental, and vision insurance for employees and families
- Health Savings Account (HSA) or Flexible Spending Account (FSA) options
- Generous paid time off including 3 weeks vacation, sick leave, and 11 company holidays
- Remote-friendly culture with opportunities for in-person collaboration and team events
- Free financial planning services and employee financial wellness support
- Parental leave and pet insurance options to support family well-being
- Strong focus on learning, mentorship, and continuous professional development.