Senior AI Software Engineer: Agentic AI & LLM (Remote)

ICON; United States; Remote; USD 140,000 - 210,000; Full time

Job summary

ICON is seeking a seasoned AI Software Engineer to design and ship AI-powered tools, workflows, and autonomous agents on the construction tech platform. This remote role includes periodic travel to ICON HQ in Austin, TX as projects require.

You will own end-to-end AI feature development, build multi-agent pipelines, and mentor teams on best practices while leveraging LangChain, LlamaIndex, and cutting-edge LLM APIs to push production-grade capabilities.

Qualifications

• 6+ years of professional software engineering experience with backend or full-stack development.
• Experience shipping production-grade products using LLMs and agentic frameworks.
• Proficiency in TypeScript and/or Python; strong prompt engineering skills.

Responsibilities

• Design and build agentic AI systems across ICON's software platform.
• Develop LLM-powered features using foundation models and APIs (e.g. Anthropic, OpenAI).
• Architect and implement multi-agent pipelines, tool-use systems, and MCP integrations.
• Build robust RAG systems including document ingestion, chunking strategies, embedding pipelines, and vector retrieval.
• Collaborate with software and domain teams to translate AI opportunities into shipped products.
• Own the full development lifecycle of AI features from prototyping to deployment.
• Mentor on agentic AI best practices across the engineering org.
• Stay at the leading edge of agentic AI and bring techniques into production.

Skills

TypeScript

Python

LLM integration

Agentic AI

LangChain

LlamaIndex

Claude Code

Tool-use

Prompt engineering

Security clearance

Tools

AWS

Serverless

Vector databases

Job description

ICON is seeking a seasoned AI Software Engineer to design and ship AI-powered tools, workflows, and autonomous agents on the construction tech platform. This remote role includes periodic travel to ICON HQ in Austin, TX as projects require.

You will own end-to-end AI feature development, build multi-agent pipelines, and mentor teams on best practices while leveraging LangChain, LlamaIndex, and cutting-edge LLM APIs to push production-grade capabilities.