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
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
Rate Range: $126,400 - $180,000
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