Senior Forward-Deployed AI Engineer (Remote, US East)

highmetric; United States; Remote; USD 180,000 - 260,000; Full time

Benefits offered by this job

Remote work

Travel up to 70%

Job summary

highmetric is seeking an experienced software engineering leader to design and deploy AI-powered workflows for enterprise customers. You will turn business needs into production-ready applications across workflow platforms and connected systems, delivering reusable components and best practices for future deployments.

You will work hands-on with full-stack development, AI/LLM solutions, and customer engagements, balancing technical excellence with clear communication to business stakeholders.

Qualifications

• 8+ years in software engineering or enterprise integration.
• Hands-on full-stack development and cloud experience.
• Experience building or deploying AI/LLM apps (e.g., RAG, assistants, agents).
• Proficiency in JS/TS or Python and one major cloud platform.
• Ability to communicate technical choices to business stakeholders.

Responsibilities

• Translate operational processes into designs, delivery plans and deployable AI solutions.
• Configure and integrate AI assistants, agent workflows, and automations into enterprise environments.
• Build generative AI apps using LLM APIs with multi-step orchestration.
• Develop retrieval-augmented generation solutions grounded in enterprise knowledge.
• Lead or support customer workshops, prototypes, pilots, and production rollouts; explain capabilities and tradeoffs clearly.
• Contribute reusable patterns and platform improvements while moving use cases to production.

Skills

Full-stack development

APIs & microservices

Cloud platforms

AI/LLM applications

Customer communication

Tools

JavaScript/TypeScript

Python

ServiceNow

Job description

highmetric is seeking an experienced software engineering leader to design and deploy AI-powered workflows for enterprise customers. You will turn business needs into production-ready applications across workflow platforms and connected systems, delivering reusable components and best practices for future deployments.

You will work hands-on with full-stack development, AI/LLM solutions, and customer engagements, balancing technical excellence with clear communication to business stakeholders.