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8 дней назад

Intermediate Software Engineer (Agentic AI)

100 000 - 130 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US/Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Intermediate Software Engineer (Agentic AI): Building and hardening agent-based identity verification capabilities from proof of concept to production with an accent on agent evaluation, data pipelines, and reliable AI-driven services. Focus on designing tests for non-deterministic behavior, optimizing cost and latency, and deploying secure production systems with AWS and big-data tooling.

Location: San Diego, California or Vancouver, British Columbia; hybrid with three days per week in the office

Salary: US$100,000–US$130,000 or CA$90,000–CA$115,000 annually

Company

hirify.global provides a digital identity verification platform that helps organizations onboard customers, manage compliance, reduce costs, and combat fraud.

What you will do

  • Build and ship agent capabilities, including Vertex AI-based Discovery Agents, across design, implementation, testing, and deployment.
  • Harden proof-of-concept agent code into production-grade systems with robust error handling, observability, testing, cost control, and latency optimization.
  • Design test cases and evaluation checks for non-deterministic agent behavior.
  • Build and maintain AWS-based data ingestion and pipelines that feed AI agents.
  • Partner with Product and senior engineers to translate business requirements into shipped features.
  • Support production AI services through monitoring, alerting, incident response, and responsible use of AI tools.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.
  • 2–4 years of software engineering or development experience.
  • Strong foundation in Python or another backend language, with the ability to write clean, readable, and testable code.
  • Working knowledge of SQL or NoSQL databases and basic REST API design.
  • Experience with AWS and exposure to data pipeline tools such as PySpark or Airflow.
  • Experience building an LLM project involving tool or function calls, chained steps, or multi-step coordination, plus routine use and verification of AI coding assistants.

Nice to have

  • Exposure to Apache Airflow, Dagster, Spark, Presto/Trino, or Hive.
  • Exposure to infrastructure-as-code tools such as Terraform or AWS CDK.
  • Interest or coursework in identity verification, fraud, security, or fintech.

Culture & Benefits

  • Full-time permanent employment with health, dental, and vision coverage.
  • Retirement plans with company matching, paid time off, and parental leave.
  • Annual education and training stipend equivalent to $1,000 in local currency.
  • Hybrid offices with lunches, social events, adaptable workstations, and location-dependent amenities.
  • Wellness workshops, events, Headspace subscription, and employee resource groups.

Hiring process

  • 30-minute recruiter interview.
  • 60-minute hiring manager interview and 60-minute panel interview.
  • Final leadership interview lasting 30–45 minutes.

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