CrossCountry Consulting
Forward Deployed Engineer & Agentic Workflow Engineer
$150K–$285K
United States · Remote · Full-time · Posted Sep 28, 2026
- Experience
- 5+ years of software engineering, including at least 2 years focused on AI/LLM application development, agentic systems, or intelligent automation.
- Education
- Bachelor’s degree from an accredited university in computer science, software engineering, mathematics, or a related technical discipline.
About the job
Build, deploy, and manage production-grade agentic AI workflows for finance and enterprise teams, working directly with clients and helping lead the AI practice.
What you'll do
- Design, implement, and iterate on multi-agent workflows, LLM integrations, and enterprise system connectors.
- Deploy and monitor production agents with audit-ready logging, controls, and reliability practices; co-develop solutions with client teams.
- Create reusable accelerators and delivery methods, mentor junior engineers, and contribute to recruiting and AI initiatives.
What they ask for
- 5+ years of software engineering experience, including at least 2 years in AI/LLM application development, agentic systems, or intelligent automation.
- Production experience building multi-agent systems with LangChain/LangGraph, CrewAI, AutoGen, or equivalent frameworks.
- Proficiency in Python and TypeScript/JavaScript; experience with FastAPI or equivalent for APIs.
- Bachelor’s degree in computer science, software engineering, mathematics, or a related technical discipline.
Nice to have
- Prior forward-deployed or client-embedded engineering experience.
- Relevant cloud, LangChain, or equivalent agentic AI tooling certifications.
Pay
USD $150,000 – $250,000 per year base salary (most U.S. locations); USD $175,000 – $285,000 per year base salary (New York City and San Francisco metro areas)
Tools
LangGraph, CrewAI, AutoGen, Python, TypeScript/JavaScript, FastAPI, Docker, Kubernetes
AI focus
Develop and deploy agentic AI workflows, including multi-agent orchestration, LLM prompting and tool use, RAG, enterprise integrations, and audit-ready controls.
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