Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Роль четко сосредоточена на создании и запуске AI-инструментов для коммерческих команд, с современными технологиями и понятными обязанностями; доступна только специалистам в США.
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Go-To-Market Engineer (AI): Building internal AI apps, agents, MCP servers, LLM pipelines, integrations, and data dashboards for sales, professional services, alliances, and marketing with an accent on production delivery, security, and evaluation. Focus on designing agent workflows, connecting CRM and marketing systems, deploying services on AWS, and turning loosely defined go-to-market requests into working tools.
Location: Remote - US; United States. Hiring is not currently available in California or New York metro.
Salary: $150,000–$160,000 USD base pay annually, plus bonus, equity, and benefits.
Company
hirify.global provides a cloud-native IT operations platform that automatically configures, patches, and secures endpoints for modern organizations.
What you will do
Build internal applications and AI agents for sales and professional services teams.
Build and host MCP servers connecting AI agents to hirify.global systems, CRM data, and marketing tools.
Run production LLM pipelines for transcription, search, classification, and content generation.
Build and maintain data pipelines and dashboards using Salesforce, HubSpot, Gong, Outreach, and GA4.
Develop Claude skills and automations, train go-to-market users, and test AI products before launch.
Advise leadership on AI tools and proposals while owning delivery from scoping through production deployment.
Requirements
Production software development in TypeScript and Python, including tests and CI/CD.
Production LLM applications using Anthropic and OpenAI APIs, including prompt design, model selection, tool use, and token-cost management.
MCP servers and agent tools with SSO or OAuth sign-in and least-privilege access.
Agent workflows with evaluation and human review, including test sets, LLM-as-judge scoring, and approval steps.
API integrations with go-to-market systems such as Salesforce, HubSpot, Gong, and Outreach.
SQL and PostgreSQL data modeling, including embeddings and vector search.
AWS experience with ECS or EC2, RDS, S3, CloudFront, IAM, and GitHub Actions deployments without stored keys.
Experience turning loosely defined requests from sales and marketing leads into scoped builds, then shipping and iterating.
Clear writing and documentation skills, ability to explain AI tools to non-engineers, and security practices covering secrets management, access control, and AI governance review.
Nice to have
Experience with Claude Code, Codex, Antigravity, Opencode, or similar coding agents, including skills, subagents, and project rules.
Next.js and React for internal tools, including generated PDFs.
BigQuery, GA4, and Google Ads data experience.
Okta SSO for internal applications and hosted MCP servers.
Infrastructure as code using CloudFormation or Terraform.
AI search visibility experience with llms.txt, schema markup, and citability.
Background in IT operations, endpoint management, or security, including patching and vulnerability response.
Culture & Benefits
Fully distributed company with remote employees and a collaborative, ownership-oriented culture.
Full-time employment with equity, flexible PTO, generous sick time, and a 401(k) match.
Comprehensive health plans, employer-paid disability and life insurance, and HSA contributions of $100–$200 per month depending on tier.
Lifestyle Spending Account of $25 per month, $50 per month internet reimbursement, and a $500 home-office stipend.
$10,000 adoption benefit and comprehensive family-planning coverage.
Federal, state, and county background checks plus local in-person verification are required. Work visa sponsorship is not available.
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