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 experienceStrong proficiency in Python and TypeScriptExperience deploying production services on AWSFamiliarity with Azure cloud concepts and enterprise identity systemsExperience with vector databases, embeddings, and retrieval systemsStrong understanding of system design and production operationsFluent in EnglishPreferred Qualifications
React experience for user-facing AI featuresExperience operating AI systems in regulated or enterprise environmentsFamiliarity with observability, performance optimization, and cost managementRemote work available
Resumes : rdeck@click2-ai.com