Need Senior AI Engineer Financial Data & Agentic AI at SFO, CA (Locals Only).
SnapCode Inc
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Job Details
Skills
- Financial Data
- Agentic AI
- EPM
- Orchestration
- Python
- SQL
- Generative AI
- LLM
- LangGraph
Summary
Hope you are doing well,
Key Responsibilities
- Query, structure, transform, and integrate enterprise financial data across SQL databases and EPM systems.
- Design reliable data pipelines and data access patterns for financial applications and AI-powered workflows.
- Work with complex financial data including budgeting, forecasting, planning, reporting, revenue, expenses, and other enterprise financial datasets.
- Ensure financial data is accurate, consistent, secure, and accessible to AI applications and agents.
- Collaborate with finance and data teams to understand complex financial logic and translate business requirements into technical solutions.
- Design, develop, and scale production-grade AI agents for high-volume financial workflows.
- Build AI systems capable of retrieving, analyzing, reasoning over, and acting on enterprise financial data.
- Develop solutions optimized for accuracy, performance, latency, scalability, compliance, and auditability.
- Integrate AI agents with databases, enterprise applications, APIs, data platforms, and other business tools.
- Implement appropriate monitoring, evaluation, logging, and observability for AI agent performance and reliability.
- Design and implement multi-agent architectures using supervisor-worker and hierarchical agent patterns.
- Build systems that decompose complex financial problems into smaller tasks handled by specialized sub-agents.
- Implement intelligent routing of tasks to the appropriate sub-agent based on the problem, context, and required expertise.
- Design context-isolated workflows to ensure agents receive only the information required to complete their assigned tasks.
- Coordinate multiple agents and tools to support complex financial analysis and decision-making workflows.
- Build tool-augmented AI agents capable of interacting with databases, APIs, enterprise applications, and other systems.
- Implement agent lifecycle controls, including event callbacks, pre-processing and post-processing hooks, and state management.
- Design mechanisms for agent state persistence, memory, workflow recovery, and execution tracking.
- Implement deterministic guardrails to control agent behavior and prevent unauthorized or incorrect actions.
- Build human-in-the-loop workflows for high-risk, sensitive, or approval-based financial activities.
- Ensure agent actions and outputs are traceable, explainable, and auditable.
- 7+ years of experience in software engineering, data engineering, AI/ML engineering, or a related field.
- Strong hands-on experience with Python and SQL.
- Proven experience working with enterprise financial data, financial systems, or EPM platforms.
- Hands-on experience building Generative AI, LLM, or Agentic AI applications.
- Experience designing and deploying production-grade AI agents or AI-powered data applications.
- Strong understanding of multi-agent systems, agent orchestration, task decomposition, and sub-agent routing.
- Experience integrating AI agents with databases, APIs, tools, and enterprise systems.
- Experience implementing AI application controls such as guardrails, validation, observability, logging, and audit trails.
- Experience with state management, agent memory, workflow persistence, or lifecycle management.
- Experience designing human-in-the-loop workflows and approval mechanisms.
- Strong understanding of enterprise security, data privacy, compliance, reliability, and auditability requirements.
- Experience with AI agent frameworks such as LangGraph, LangChain, AutoGen, CrewAI, Semantic Kernel, or similar technologies.
- Experience with EPM platforms, financial planning systems, or enterprise finance applications.
- Experience with RAG, vector databases, embeddings, and enterprise knowledge retrieval.
- Experience with cloud platforms such as AWS, Azure, or Google Cloud.
- Experience with AI/LLM evaluation, observability, prompt engineering, and model governance.
- Experience working with financial planning, budgeting, forecasting, accounting, or FP&A data.
- Experience building enterprise-grade AI platforms or data agents at scale.
- SQL
- Enterprise data platforms
- Financial data
- EPM systems
- Data integration
- Financial workflows
- LLMs and Generative AI
- AI agents
- Multi-agent orchestration
- Sub-agent routing
- Tool calling
- Agent state and lifecycle management
- Guardrails
- Human-in-the-loop workflows
- Production-scale AI systems
- Dice Id: 91172751
- Position Id: 9039891
- Posted 1 day ago
Company Info
About SnapCode Inc
Snapcode Inc., a US-based IT staffing firm, provides specialized technology professionals to businesses seeking their expertise. The company’s mission is to connect talented individuals in the IT sector with organizations that are striving to achieve their business objectives.
Core Services
Snapcode Inc provides a range of staffing solutions tailored to the diverse needs of its clients:
• Contract Staffing: Temporary placements to fill short-term roles for project-specific needs.
• Permanent Staffing: Recruitment of candidates for full-time positions within organizations.
• Managed Services: Comprehensive IT solutions, including team management and project execution.
• Executive Search: Services to identify and place top-level IT executives in leadership roles.
Industries Served
Snapcode Inc specializes in staffing for multiple industries:
• Information Technology
• Financial Services
• Healthcare
• Retail and E-commerce
• Telecommunications
Commitment to Excellence
Snapcode Inc. emphasizes a customer-centric approach, ensuring that both its clients and candidates derive personalized benefits from its solutions. The company employs stringent screening procedures and maintains a comprehensive network of highly skilled professionals, enabling it to meet the demands of rapidly changing technological landscapes.
Conclusion
Snapcode Inc. stands out in the competitive US IT staffing market due to its commitment to quality and its capacity to adapt to industry-specific challenges. By aligning expertise and innovation, the firm provides staffing solutions that enable organizations to flourish in the digital era.
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