Lead Predictive & Agentic AI Engineer

Bright MLS, Inc.

North Bethesda, Northern (MD, KY)

Hybrid

USD 155,000 - 175,000

Full time

9 days ago

Get more replies from employers

Send a job-specific resume in minutes.

Benefits offered by this job

Health insurance

401(k) plan with employer matching

Paid time off (PTO)

Performance-based bonuses

Job summary

Bright MLS, Inc. seeks an experienced Predictive & Agentic AI Engineer to bridge traditional predictive modeling with generative AI. Lead development of data-driven models and autonomous multi-agent workflows for MLS subscribers.

Responsibilities include building AI agentic architectures, MLOps pipelines, and evaluating model performance while collaborating with product, engineering, and research teams. Requires 5+ years in data science and strong AWS expertise.

Qualifications

5+ years hands-on data science, analytics, ML, and AI engineering.
Strong SQL skills and production-grade Python expertise.
Experience with ML frameworks: TensorFlow, PyTorch, scikit-learn.
Proven work building multi-agent, stateful AI workflows.
Experience with AWS SageMaker/Bedrock and enterprise agent platforms.

Responsibilities

Work with large real estate data to extract insights using ML/LLM approaches.
Develop predictive analyses to guide product, reporting, and research teams.
Prototype autonomous multi-agent AI systems aligned to roadmap.
Design and deploy AI agentic workflows for real estate processes.
Develop end-to-end MLOps/LLMOps including data curation, training, prompts, evaluation, deployment.
Refine ML models and agent architectures to improve accuracy and reduce hallucinations.
Evaluate model performance and agent compliance with A/B testing and validation.
Collaborate with Product, Engineering, Research to translate needs into scalable AI solutions.
Stay current with MLOps, LLMOps, and agentic AI tech.