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 services
• Implement Retrieval-Augmented Generation (RAG) patterns, including:
• document ingestion pipelines
• embedding strategies
• chunking approaches
• retrieval tuning and evaluation
• Integrate 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 integrations
• Leverage AI/ML tooling for evaluation and observability (e.g., Langfuse or similar)
• Collaborate with engineering and stakeholders to translate business needs into technical designs
• Support production readiness via cloud architecture + DevOps: CI/CD, IaC, monitoring/alerting, deployment automation, environment management, By submitting this application, you acknowledge and consent to engage in conversation with a recruiter or virtual recruiter from IDR Inc. and its affiliates, and contracted partners by receiving calls, AI-generated calls, texts, or emails to the contact information provided. Please ensure that the contact information provided is one you are permitted to use and are authorized to receive such messages on. If your contact information changes during the application process, please notify IDR promptly. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can opt-out of receiving communications at any time by saying or replying with “STOP” and “HELP” for help. To view our privacy policy, you may access it here (;br>PandoLogic. Keywords: Machine Learning Engineer, Location: Nashville, TN - 37203

• Demonstrated AWS Bedrock experience in real implementations (PoC through production)
• Strong understanding of GenAI concepts including:
• RAG
• vector databases
• agent orchestration
• guardrails / safety controls
• Strong Python development experience (services, APIs, pipelines)
• Experience with AI/ML frameworks and tooling, including Langfuse or similar
• Solid foundation in cloud architecture and DevOps practices supporting production systems

Nice to Have

• Prior experience delivering GenAI solutions in complex enterprise environments
• Experience improving model/app quality via structured evaluation, testing, and monitoring