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Software Developer (AI)

55 - 70$
Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US
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
Software Developer (AI): Building production-ready platforms and services for enterprise AI development, governance, architecture assessment, and developer enablement with an accent on agentic systems, generative AI, cloud-native engineering, and responsible AI. Focus on designing scalable distributed services, integrating APIs and databases, evaluating models, and implementing secure governance and guardrails for AI-powered solutions.

Location: On-site in Austin, Texas or Southlake, Texas

Salary: USD $55.29–$69.71 per hour, plus eligible bonus or incentive opportunities.

Company

hirify.global is a financial services company developing enterprise technology and AI-powered solutions.

What you will do

  • Design and deliver production-ready platforms and services that help engineering teams build, govern, and scale AI-powered solutions.
  • Develop agentic frameworks, governance solutions, architecture assessment tooling, and enterprise engineering platforms.
  • Build scalable cloud-native applications and integrate APIs, distributed services, and relational, NoSQL, or vector databases.
  • Apply generative AI, model orchestration, evaluation frameworks, retrieval-augmented generation, and responsible AI practices.
  • Partner with architects, engineers, product teams, and cross-functional stakeholders to translate requirements into actionable solutions.

Requirements

  • Bachelor’s degree in Computer Science or equivalent professional experience.
  • At least 4 years of experience designing, building, and supporting enterprise software applications.
  • Strong knowledge of object-oriented design, software design patterns, scalable application architecture, testing, code quality, and SDLC practices.
  • Hands-on experience with agentic systems and orchestration, RAG, prompt and context engineering, generative AI, or LLM applications.
  • Experience with enterprise AI platforms, model evaluation, AI governance, guardrails, risk management, and production cloud platforms such as GCP, AWS, or Azure.
  • Strong communication and collaboration skills, with a commitment to security, privacy, risk awareness, and responsible AI.

Nice to have

  • Experience with model context protocols, vector databases, embeddings, or knowledge retrieval systems.
  • Experience developing full-stack or backend applications in cloud-native environments.
  • Familiarity with agile development and cross-functional engineering teams.

Culture & Benefits

  • In-office collaboration within a culture of trust, learning, and continuous development.
  • 401(k) with company match and employee stock purchase plan.
  • Paid vacation, volunteering time, parental leave, and family-building benefits.
  • Twenty-eight-day sabbatical after every five years of service for eligible positions.
  • Tuition reimbursement plus medical, dental, and vision insurance.

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