Title; Staff Engineer, AI & Agentic Development
LOCATION(S): #1 Dallas, # 2 NYC and then last resort remote from near Dallas.
IN OFFICE POLICY IF LOCAL TO NY or TX location: If local, 4 days a week onsite. If not local, arrangements for 2-3 days a week in office, or possibly remote for a perfect candidate
Type: Fulltime
REQUIREMENTS:
- This is not an ML research role—it is a product engineering role for someone who can take large language models, tool-use patterns, and agentic frameworks and ship them as reliable, production-grade features that financial operations teams depend on daily.
- You will work across the below following stack. Deep expertise in every layer is not required—but you should be comfortable navigating a polyglot codebase and making architectural decisions that span these technologies.
· 8+ years of professional software engineering experience, with significant time spent building production systems at scale.
· 3+ years of hands-on experience building AI/ML-powered product features—not research prototypes, but shipped, production software that real users depend on.
· Deep experience with LLM integration: prompt engineering, function/tool calling, RAG architectures, agent orchestration, and evaluation frameworks.
· Strong software engineering fundamentals: system design, API design, data modeling, distributed systems, and production operations.
· Experience with at least one modern AI/agent framework (LangChain, LlamaIndex, Anthropic tool use, OpenAI Assistants, CrewAI, or similar) and a clear-eyed view of their trade-offs.
· Proficiency in Python and/or TypeScript. Familiarity with SQL and relational databases.
· Track record of leading technical initiatives that span multiple teams or systems, with strong written communication (RFCs, design docs, ADRs).
· Demonstrated ability to work with ambiguity—translating broad product goals into concrete technical plans and shipping iteratively.
PREFERRED QUALIFICATIONS
• Experience building MCP servers or integrations, or deep familiarity with the Model Context Protocol ecosystem.
• Domain experience in FinTech, payments, accounting automation, fund administration, or financial operations.
• Experience with AI-assisted development tools (Claude Code, Cursor, Copilot) and a philosophy for how they change engineering workflows.
• Background in building trust and safety systems for AI: content filtering, output validation, human-in-the-loop patterns, and audit logging for autonomous actions.
• Experience with Azure cloud services, SQL Server, or Azure DevOps.
• Familiarity with financial data formats and integrations: NACHA, ISO 20022, SWIFT, or accounting system APIs (QuickBooks, NetSuite, Sage).
• Prior experience at a Staff/Principal level or as a founding/early engineer at a startup where you shaped technical direction.
Never miss an opportunity! Create an alert based on the job you applied for.
