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.
