AI Software Engineer II, Government Technology

ICON is looking for a pragmatic builder who has made the leap from traditional software engineering into the emerging world of agentic AI development. As an AI Software Engineer at ICON, you will be responsible for designing and shipping AI-powered tools, workflows, and autonomous agents that accelerate ICON's construction technology platform. This role reports to the Sr. Director, Defense Technology Programs and is available for remote work with periodic travel to ICON HQ in Austin, TX as projects require.

RESPONSIBILITIES

Design and build agentic AI systems that automate complex, multi-step workflows across ICON's software platform

Develop LLM-powered features and products using state-of-the-art foundation models and APIs (e.g. Anthropic, OpenAI)

Architect and implement multi-agent pipelines, tool-use systems, and Model Context Protocol (MCP) integrations

Build robust RAG systems including document ingestion, chunking strategies, embedding pipelines, and vector retrieval

Collaborate with software and domain teams to identify high-leverage AI automation opportunities and translate them into shipped products

Own the full development lifecycle of AI features: prototyping, evaluation, deployment, and iteration

Serve as a technical resource and informal mentor on agentic AI best practices across the engineering organization

Stay at the leading edge of the agentic AI landscape and bring emerging techniques into production

MINIMUM QUALIFICATIONS

6+ years of professional software engineering experience with a strong foundation in backend or full-stack development

Demonstrated experience building and shipping production-grade products using LLMs and agentic frameworks

Proficiency in TypeScript and/or Python

Deep understanding of prompt engineering, context management, and LLM reasoning patterns

Experience with tool-use, function calling, and agent orchestration (e.g. LangChain, LlamaIndex, Claude Code, or custom implementations)

Ability to design and execute structured evals to measure and improve AI system performance

Strong communication skills and comfort working cross-functionally with both technical teams and non-technical stakeholders

Must be able to obtain and maintain security clearance.

PREFERRED SKILLS AND EXPERIENCE

Experience with MCP (Model Context Protocol) server development and integration

Familiarity with vector databases (e.g. pgvector, Pinecone, Weaviate)

Experience with fine-tuning, RLHF, or model evaluation pipelines

Background in ML fundamentals: embeddings, transformers, attention mechanisms

Exposure to structured output generation and LLM-based data extraction

Experience working with code generation agents (e.g. Claude Code, Cursor, Devin-style systems)

Familiarity with AWS and serverless infrastructure for AI workloads

Experience working in or alongside government, defense, or regulated environments

Interest or background in the AEC (architecture, engineering, construction) industry

Headhunters and recruitment agencies may not submit candidates through this application. ICON does not accept unsolicited headhunter and agency submissions for candidates and will not pay fees to any third-party agency without a prior agreement with ICON.

As part of our compliance with these obligations, the Company invites you to voluntarily self-identify as set forth below. Provision of such information is entirely voluntary and a decision to provide or not provide such information will not have any effect on your employment or subject you to any adverse treatment. Any and all information provided will be considered confidential, will be kept separate from your application and/or personnel file, and will only be used in accordance with applicable laws, orders and regulations, including those that require the information to be summarized and reported to the federal government for civil rights enforcement purposes.

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