AI Software Engineer II, Government Technology

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

Requirements

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

Qualifications

• 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