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Forward Development Engineer
CrossCountry Consulting. Design, deploy, and manage production-grade agentic AI solutions for the Office of the CFO and other enterprise functions .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and deploying agentic AI solutions, with a strong focus on multi-agent orchestration, API integrations, and financial domain fluency. Proficient in Python, TypeScript, and relevant frameworks, while effectively collaborating with cross-functional teams and presenting to executive stakeholders.
Highest-signal resume keywords
AI/LLM Application DevelopmentMulti-Agent System ArchitecturePython ProgrammingFinancial API IntegrationPrompt Engineering
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Agentic SystemsLangChainLangGraphCrewAIAutoGenFastAPIDockerKubernetesVector DatabasesFunction Calling
Soft Skills
Clear CommunicationStakeholder EngagementMentoringCollaborationContinuous Improvement
Tools & Technologies
AzureGCPAWSREST APIsGraphQLMCP ConnectorsCI/CDData ConnectorsRAG PipelinesHITL/HOTL Checkpoints
Industry Keywords
Finance Domain FluencyMonth-End CloseVariance AnalysisRevenue RecognitionAR/APFP&AEnterprise Source SystemsData LakesERPEPM
Tech Stack
Tools & technologiesAWSAzureDockerERPGoogle Cloud PlatformGraphQLJavaScriptKubernetesMicroservicesPythonTypeScript
About the role
Key responsibilities & impact- Design, deploy, and manage production-grade agentic AI solutions for the Office of the CFO and other enterprise functions
- Embed directly with client finance and operations teams to build, test, and iterate on agentic workflows
- Deploy AI Jumpstart packages within client environments, configuring data connectors, calibrating agent logic, and validating outputs against source-system controls
- Architect and implement multi-agent orchestration workflows using LangGraph, CrewAI, AutoGen, or equivalent frameworks
- Design task decomposition, inter-agent messaging, tool-call schemas, and HITL/HOTL checkpoints
- Write, version, and optimize system prompts and structured output schemas for LLM-powered agents
- Implement function-calling/tool-use patterns against financial APIs and optimize hybrid structured plus RAG retrieval strategies
- Build and certify MCP connectors and REST/GraphQL integrations to ERP, EPM, CRM, and HRIS systems
- Package agents as containerized microservices and configure CI/CD, environment promotion, monitoring, and alerting
- Collaborate with client finance, IT, and data teams to translate business requirements into technical agent designs
- Facilitate working sessions, demonstrate agents to executive stakeholders, and iterate based on feedback
- Instrument agents with deterministic logging, source citations, and control documentation for SOX and audit readiness
- Develop reusable accelerators, workflow templates, and connector certifications
- Create delivery methodologies and scalable agentic solution offerings
- Mentor analysts and junior engineers, track performance, and encourage continuous improvement
- Contribute to recruiting, proposal writing, firm-wide AI initiatives, and compliant AI-enabled solutions
- Stay informed about emerging AI tools and techniques and identify opportunities to enhance client solutions and internal processes
Requirements
What you’ll need- 5+ years of software engineering experience, with at least 2 years focused on AI/LLM application development, agentic systems, or intelligent automation
- Prior “forward deployed” or client embedded engineering experience strongly preferred
- Hands-on production experience building multi-agent systems with LangChain/LangGraph, CrewAI, AutoGen, or equivalent frameworks
- Understanding of agent-loop design, task planning, tool-use, and memory management
- Proficiency in Python and TypeScript/JavaScript
- Experience with FastAPI or equivalent for exposing agent capabilities as APIs
- Deep understanding of LLM capabilities and limitations, including prompt engineering, structured outputs, function calling, context-window management, cost optimization, and latency tradeoffs
- Experience integrating enterprise source systems via APIs and MCP connectors
- Familiarity with ERP, EPM, EDW/Data Lakes, and CRM data schemas in a finance context is a significant plus
- Working knowledge of Azure, GCP, or AWS
- Experience with Docker and Kubernetes
- Experience with vector databases such as Pinecone or Weaviate and RAG pipelines
- Finance domain fluency covering month-end close, variance analysis, revenue recognition, AR/AP, and FP&A
- Demonstrated track record of delivering working software in compressed, high-stakes timelines
- Clear, confident communication with technical and non-technical stakeholders
- Ability to present live-agent demonstrations to CFOs and finance leadership
- Bachelor’s degree from an accredited university in computer science, software engineering, mathematics, or a related technical discipline
- Willingness to travel domestically up to 20%–40%, varying by client engagement phase
- For hybrid environment: availability to work on client site or in office 3 days a week, with 2 days remote
Benefits
Comp & perks- Comprehensive healthcare options, including medical, dental, and vision coverage
- Flexible spending accounts
- 401(k) with company matching
- Generous parental and maternity leave policies
- Technology stipends
- Wellness reimbursement programs
- Professional growth support