2 часа назад
Senior AI Engineer Software Engineer Government Technology (Agentic AI)
192 640 - 264 880$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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 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
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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