GenAI Engineer

We’re seeking a GenAI Engineer with hands-on experience delivering AWS Bedrock solutions from proof-of-concept through production. You’ll design and implement production-ready GenAI applications, with a strong emphasis on RAG architectures, vector databases, agentic workflows, and safety/guardrails, alongside modern Python engineering and cloud/DevOps best practices.What You’ll Do:Design, build, and deploy Generative AI applications using AWS Bedrock and related AWS servicesImplement Retrieval-Augmented Generation (RAG) patterns, including: document ingestion pipelinesembedding strategieschunking approachesretrieval tuning and evaluationIntegrate and manage vector databases (selection, indexing, performance tuning, lifecycle management)Build and orchestrate agentic workflows (tool use/function calling, multi-step flows, orchestration patterns)Implement guardrails and safety controls (prompt/content filtering, policy enforcement, PII handling, secure prompting, monitoring)Develop backend services and pipelines in Python to support AI workflows and integrationsLeverage AI/ML tooling for evaluation and observability (e.g., Langfuse or similar)Collaborate with engineering and stakeholders to translate business needs into technical designsSupport production readiness via cloud architecture + DevOps: CI/CD, IaC, monitoring/alerting, deployment automation, environment managementRequired QualificationsDemonstrated AWS Bedrock experience in real implementations (PoC through production)Strong understanding of GenAI concepts including: RAGvector databasesagent orchestrationguardrails / safety controlsStrong Python development experience (services, APIs, pipelines)Experience with AI/ML frameworks and tooling, including Langfuse or similarSolid foundation in cloud architecture and DevOps practices supporting production systemsNice to HavePrior experience delivering GenAI solutions in complex enterprise environmentsExperience improving model/app quality via structured evaluation, testing, and monitoring