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48 ΠΌΠΈΠ½ΡƒΡ‚ Π½Π°Π·Π°Π΄

Forward Deployed Engineer (AI)

150Β 000 - 175Β 000$
Π€ΠΎΡ€ΠΌΠ°Ρ‚ Ρ€Π°Π±ΠΎΡ‚Ρ‹
remote (Ρ‚ΠΎΠ»ΡŒΠΊΠΎ USA)
Π’ΠΈΠΏ Ρ€Π°Π±ΠΎΡ‚Ρ‹
fulltime
Π“Ρ€Π΅ΠΉΠ΄
senior
Английский
b2
Π‘Ρ‚Ρ€Π°Π½Π°
US/Europe
Вакансия ΠΈΠ· списка Hirify.GlobalВакансия ΠΈΠ· Hirify Global, списка ΠΌΠ΅ΠΆΠ΄ΡƒΠ½Π°Ρ€ΠΎΠ΄Π½Ρ‹Ρ… tech-ΠΊΠΎΠΌΠΏΠ°Π½ΠΈΠΉ
Для мэтча ΠΈ ΠΎΡ‚ΠΊΠ»ΠΈΠΊΠ° Π½ΡƒΠΆΠ΅Π½ Plus

ΠœΡΡ‚Ρ‡ & Π‘ΠΎΠΏΡ€ΠΎΠ²ΠΎΠ΄

Для мэтча с этой вакансиСй Π½ΡƒΠΆΠ΅Π½ Plus

ОписаниС вакансии

ВСкст:
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TL;DR
Forward Deployed Engineer (AI): Building and shipping production-grade AI integrations that connect enterprise systems to CData Connect AI, MCP servers, and governed data sources with an accent on customer delivery, agent workflows, and secure data access. Focus on configuring MCP and semantic governance layers, writing integration code, troubleshooting production deployments, and feeding reusable patterns back into the product roadmap.

Location: Remote, U.S.; EST or West Coast preferred. Travel required up to 25%.

Salary: $150,000–$175,000 per year.

Company

hirify.global provides enterprise data connectivity, replication, semantic intelligence, and governance for AI and analytics workloads across more than 350 data sources.

What you will do

  • Embed with enterprise customer teams to deploy hirify.global Connect AI, configure MCP servers, connect data sources, and validate agent workflows in production.
  • Build and test AI agent integrations with correctly scoped data access and configure semantic context and governance layers.
  • Write production code in Python, Java, or C# using MCP, REST, OData, and hirify.global drivers.
  • Deliver iterative solutions on a multi-sprint cadence, including weekly customer demos, validation checkpoints, and workflow refinement.
  • Monitor deployment health and MCP performance, troubleshoot agent accuracy, resolve production issues, and support the Customer Success handoff.
  • Document product gaps, agent behavior patterns, reusable code, deployment recipes, and troubleshooting guidance for the Connect AI product team.

Requirements

  • 4–7 years of experience in software engineering, data engineering, or technical consulting with hands-on delivery experience.
  • Track record of shipping production code in customer-facing or customer-impacting roles.
  • Proficiency in Python, Java, or C# and experience building API integrations, data pipelines, or connector-based workflows.
  • Experience with SQL, REST APIs, ODBC/JDBC, JSON/XML parsing, and multi-source data mapping.
  • Understanding of LLM data usage, MCP, AI agents, RBAC, OAuth 2.1, and semantic scoping.
  • Must be currently authorized to work full-time in the United States; visa sponsorship is not available now or in the future.

Nice to have

  • Hands-on experience with MCP and AI agent frameworks such as LangChain, CrewAI, or Copilot Studio.
  • Prior FDE, professional services, or solutions-engineering experience at a data, analytics, or AI platform company.
  • Exposure to Snowflake, Databricks, Salesforce, and cloud-native deployment patterns.

Culture & Benefits

  • Remote-friendly, high-trust work environment focused on collaboration, curiosity, and innovation.
  • Medical, dental, and vision plans with company-paid insurance premiums.
  • Health Savings Account with company contribution, Flexible Savings Account, and Dependent Care FSA.
  • 20 days of paid time off and 11 paid holidays.
  • 401(k) with a 100% company match up to 6% of contributions.
  • Professional development and learning opportunities defined with the manager.

Π‘ΡƒΠ΄ΡŒΡ‚Π΅ остороТны: Ссли Ρ€Π°Π±ΠΎΡ‚ΠΎΠ΄Π°Ρ‚Π΅Π»ΡŒ просит Π²ΠΎΠΉΡ‚ΠΈ Π² ΠΈΡ… систСму, ΠΈΡΠΏΠΎΠ»ΡŒΠ·ΡƒΡ iCloud/Google, ΠΏΡ€ΠΈΡΠ»Π°Ρ‚ΡŒ ΠΊΠΎΠ΄/ΠΏΠ°Ρ€ΠΎΠ»ΡŒ, Π·Π°ΠΏΡƒΡΡ‚ΠΈΡ‚ΡŒ ΠΊΠΎΠ΄/ПО, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡ‚Π΅ этого - это мошСнники. ΠžΠ±ΡΠ·Π°Ρ‚Π΅Π»ΡŒΠ½ΠΎ ΠΆΠΌΠΈΡ‚Π΅ "ΠŸΠΎΠΆΠ°Π»ΠΎΠ²Π°Ρ‚ΡŒΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡˆΠΈΡ‚Π΅ Π² ΠΏΠΎΠ΄Π΄Π΅Ρ€ΠΆΠΊΡƒ. ΠŸΠΎΠ΄Ρ€ΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β†’