обновлено 6 дней назад
AI Software Engineer II (Government Technology)
126 400 - 180 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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 HQ in Austin, Texas as projects require
Salary: $126,400–$180,000 per year
Company
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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