Click2.ai

Software Engineer – Applied AI & LLM Systems Role Overview This role focuses on building, deploying, and operating production LLM-powered applications at Click2.ai Consulting. You will design and implement AI-driven features such as search, document understanding, and workflow copilots, with a strong emphasis on software engineering rigor, evaluation, and reliability . Systems are primarily deployed on AWS , with periodic integration into Azure-hosted client environments . Responsibilities Design and implement LLM-based applications including RAG search, document Q&A, summarization, and task copilots Build and maintain retrieval pipelines (chunking strategies, embeddings, indexing, permissions-aware access) Develop backend services using Python and TypeScript Deploy, operate, and monitor AI services on AWS infrastructure Design and maintain evaluation frameworks for quality, hallucination rates, latency, and cost Implement guardrails including citation enforcement, PII handling, prompt/version control, and safety checks Instrument systems and drive improvements based on production usage data Integrate with Azure-based client systems where required Qualifications 3+ years of professional experience as a software engineer , with applied LLM or ML system experience Strong proficiency in Python and TypeScript Experience deploying production services on AWS Familiarity with Azure cloud concepts and enterprise identity systems Experience with vector databases, embeddings, and retrieval systems Strong understanding of system design and production operations Fluent in English Preferred Qualifications React experience for user-facing AI features Experience operating AI systems in regulated or enterprise environments Familiarity with observability, performance optimization, and cost management Remote work available Resumes: rdeck@click2-ai.com