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2 дня назад

Senior Software Engineer (Agentic AI)

145 000 - 165 000$
Тип работы
fulltime
Грейд
senior
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
Senior Software Engineer (Agentic AI): Building MCP tool integrations, agentic data pipelines, and reliable infrastructure for AI agents within a Python and Django platform with an accent on backend systems, data processing, and production reliability. Focus on architecting agent-oriented services, designing failure-tolerant pipelines with retries and idempotency, and setting technical standards for emerging agentic development patterns.

Location: Arlington, Virginia, United States

Base salary: $145,000–$165,000 per year, commensurate with experience.

Company

hirify.global is an AI-native Public Benefit Corporation building a platform that helps large organizations govern AI responsibly.

What you will do

  • Design and build MCP tool integrations connecting the platform with model providers and external systems.
  • Architect data pipelines that ingest, structure, and process AI agent outputs at scale.
  • Build and maintain core platform features with Django and Python.
  • Make architecture and maintainability tradeoffs in a fast-moving technical environment.
  • Partner with the CTO on the agentic AI technical roadmap and establish development standards.
  • Debug, harden, and improve production systems affected by agent-specific failure modes.

Requirements

  • 5+ years of professional backend software engineering experience with deep Python expertise.
  • Strong experience with Django or a comparable web framework.
  • Experience building data pipelines for ingestion, transformation, and reliable processing at scale.
  • Familiarity with LLM tool-calling patterns, MCP, or similar agent-orchestration concepts.
  • Strong systems thinking, including failure modes, retries, idempotency, and data consistency.
  • Excellent written communication and the ability to document technical design decisions clearly.

Nice to have

  • Experience with async Python, asyncio, FastAPI, or similar technologies for streaming or long-running agent workloads.
  • Experience at an early- or growth-stage startup.
  • Exposure to vector databases, embeddings, or RAG architectures.
  • Experience with AWS infrastructure such as RDS or Redis.

Culture & Benefits

  • Meaningful equity in an early-stage, venture-backed company.
  • Health, dental, and vision coverage.
  • Unlimited paid time off.
  • Senior engineers have autonomy over architecture, scope, and technical standards.

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