Forward Deployed Engineer

Highbrow Technology Inc; United States; On-site; USD 120,000 - 180,000; Full time

Job summary

Highbrow Technology Inc is seeking a hands-on engineer to build AI-powered agentic workflows across front-end, back-end, APIs and data layers. This builder role emphasizes direct development of AI agents and multi-agent systems.

You will work closely with business stakeholders to scope ambiguous problems, translate them into working technical solutions, and iterate rapidly using LangChain, LangGraph, AutoGen and related tooling while upholding governance in a regulated or risk-aware context.

Qualifications

• Strong full-stack software engineering background with hands-on coding ability.
• Direct, hands-on experience building AI agents or agentic workflows.
• Independently identify business opportunities for AI/agentic involvement.
• Translate ambiguous problems into working solutions with stakeholders.
• Experience with cloud platforms and modern data/AI tooling.
• Ability to explain agentic AI concepts to non-technical partners.
• Comfort with fast iteration cycles in emerging tech.

Skills

Full-stack engineering

AI agent development

LLM orchestration

Tool-calling/function-calling

RAG pipelines

Multi-agent systems

Business stakeholder collaboration

Cloud platforms (AWS/Azure/GCP)

Data layer / APIs

Communication of AI concepts to non-IT

Fast iteration / agile

Startup/consulting delivery experience

Tools

LangChain

LangGraph

AutoGen

Semantic Kernel

Agent frameworks

Job description

• Strong full-stack software engineering background (front-end, back-end, APIs, data layer) with hands-on coding ability — this is a builder role, not an advisory one.
• Direct, hands-on experience building AI agents or agentic workflows (e.g., using LLM orchestration frameworks, tool-calling/function-calling, RAG pipelines, or multi-agent systems).
• Demonstrated ability to independently identify business opportunities for AI/agentic involvement — not just execute a pre-defined technical spec.
• Comfort working directly with business stakeholders to scope ambiguous problems and translate them into working solutions.
• Experience with cloud platforms (AWS/Azure/GCP) and modern data/AI tooling.
• Strong communication skills — able to explain agentic AI concepts, tradeoffs, and limitations to non-technical business partners.
• Comfort with fast iteration cycles and evolving requirements typical of emerging-technology initiatives.
• Prior experience in a Forward Deployed Engineer, Applied AI Engineer, or Solutions Engineer role.
• Experience with agent frameworks/tooling such as LangChain, LangGraph, AutoGen, Semantic Kernel, or similar.
• Domain knowledge in Wealth Management, Retirement Services, or broader financial services.
• Experience with enterprise AI governance, model risk, or responsible AI practices in a regulated industry.
• Prior startup, consulting, or client-facing delivery experience.