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AI Software Engineer II (Government Technology)

126 400 - 180 000$
Формат работы
remote (только USA)
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
AI Software Engineer II (Government Technology) (Agentic AI/LLMs): Building AI-powered tools, workflows, autonomous agents, and RAG systems for ICON's construction technology platform with an accent on multi-agent pipelines, tool use, MCP integrations, and production-grade LLM features. Focus on designing structured evaluations, deploying reliable AI products, and integrating emerging agentic techniques into regulated government and defense environments.

Location: Remote, with periodic travel to hirify.global HQ in Austin, Texas as projects require

Salary: $126,400–$180,000 per year

Company

hirify.global develops construction technology and software platforms, including solutions for government and defense technology programs.

What you will do

  • Design and build agentic AI systems that automate complex, multi-step workflows across the software platform.
  • Develop LLM-powered features and products using foundation models and APIs such as Anthropic and OpenAI.
  • Architect multi-agent pipelines, tool-use systems, function-calling workflows, and Model Context Protocol integrations.
  • Build RAG systems covering document ingestion, chunking, embeddings, and vector retrieval.
  • Own the full lifecycle of AI features, from prototyping and evaluation through deployment and iteration.
  • Collaborate with technical and domain teams, identify automation opportunities, and mentor engineers on agentic AI practices.

Requirements

  • 6+ years of professional software engineering experience, with a strong backend or full-stack foundation.
  • Production experience building and shipping products using LLMs and agentic frameworks.
  • Proficiency in TypeScript and/or Python.
  • Strong understanding of prompt engineering, context management, LLM reasoning patterns, tool use, function calling, and agent orchestration.
  • Ability to design structured evaluations to measure and improve AI system performance.
  • Ability to obtain and maintain security clearance.

Nice to have

  • Experience with MCP server development, vector databases, fine-tuning, RLHF, or model evaluation pipelines.
  • Knowledge of ML fundamentals such as embeddings, transformers, and attention mechanisms.
  • Experience with code generation agents, structured output generation, or LLM-based data extraction.
  • Familiarity with AWS and serverless infrastructure for AI workloads.
  • Experience in government, defense, regulated environments, or the architecture, engineering, and construction industry.

Culture & Benefits

  • Remote work with periodic travel to the Austin headquarters when required by projects.
  • Cross-functional collaboration with technical and non-technical stakeholders.
  • Opportunity to apply emerging agentic AI techniques to production systems.
  • Inclusive, diverse, and discrimination-free workplace based on merit, competence, and qualifications.

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