Senior AI/ML Application Lead

Position : Senior AI App Lead Location : Denver, CO (Remote) Duration : 2 Months, possibility of conversion but not confirmed Key Skills : React JS, Python, Databricks, MLflow, Unity Catalog, Asset Bundles, LLMs, RAG, Agentic Applications Experience : 10 Years+ Overall Experience leading engineers, including offshore teams is preferred. Required Skills & Experience 10+ years of software engineering experience, including 3+ years designing and delivering AI/ML systems in production and hands-on work with generative AI. Demonstrated experience leading engineers and setting technical direction, while remaining hands-on in code. Advanced Python: production services, async programming, testing, packaging, and PySpark. Hands-on Databricks Lakehouse experience: Delta Lake, Unity Catalog, MLflow, Databricks Workflows, and Spark-based processing; experience with Model Serving and Vector Search. Strong React with TypeScript: component architecture, state management, API integration, and streaming or real-time UIs. Deep understanding of LLMs, RAG architectures, agentic systems, prompt engineering, LLM evaluation, and model fine-tuning. Proven experience designing scalable distributed systems, REST APIs, and microservices, with a solid grasp of system design and security principles. Strong SQL, data modeling, ETL/ELT pipeline design, and data governance. Experience with Azure, AWS, or Google Cloud Platform AI and data services. Hands-on infrastructure-as-code experience (Terraform, Bicep, or CloudFormation), including Databricks Asset Bundles (DABs) for versioning and deploying jobs, pipelines, and model serving endpoints through CI/CD. Proficient in CI/CD, Git, automated testing, and the full software development life cycle. Strong stakeholder communication: able to translate architecture into business value for technical and non-technical audiences.