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2 часа назад

Senior AI Engineer Software Engineer Government Technology (Agentic AI)

192 640 - 264 880$
Формат работы
hybrid
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

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TL;DR
Senior AI Engineer Software Engineer Government Technology (Agentic AI): Building AI-powered tools, workflows, autonomous agents, and LLM features for ICON's construction technology platform with an accent on multi-agent pipelines, MCP integrations, and robust RAG systems. Focus on designing production-grade agentic AI, evaluating system performance, and deploying code-generation and tool-use systems in government and regulated environments.

Location: Remote within the United States, with periodic travel to hirify.global HQ in Austin, Texas as projects require. Must be eligible to obtain and maintain a U.S. Government security clearance.

Salary: $192,640–$264,880 annually.

Company

hirify.global develops construction technology and software products, including solutions for government 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.
  • Collaborate with software and domain teams to identify AI automation opportunities and ship products.
  • Own prototyping, evaluation, deployment, iteration, and technical guidance for AI features.

Requirements

  • 8+ years of professional software engineering experience with a strong backend or full-stack foundation.
  • Production experience building and shipping products with LLMs and agentic frameworks.
  • Proficiency in TypeScript and/or Python.
  • Experience with prompt engineering, context management, LLM reasoning, tool use, function calling, and agent orchestration.
  • Experience designing structured evaluations to measure and improve AI system performance, including code-generation agents.
  • Experience in or alongside government, defense, or regulated environments and eligibility for a U.S. Government security clearance.

Nice to have

  • MCP server development and integration experience.
  • Familiarity with vector databases such as pgvector, Pinecone, or Weaviate.
  • Experience with fine-tuning, RLHF, model evaluation pipelines, structured output generation, or LLM-based data extraction.
  • Knowledge of ML fundamentals, including embeddings, transformers, and attention mechanisms.
  • Familiarity with AWS, serverless infrastructure, 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 mentor engineers on agentic AI practices and introduce emerging techniques into production.
  • Inclusive, diverse, and discrimination-free employment environment.

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