Artificial Intelligence Engineer

Skill Set for AI Engineer / Python Developer

Primary

• Strong Python development skills for data engineering, including Pandas or Polars and PySpark

• Python API development experience using frameworks and libraries such as FastAPI, FastMCP, Pydantic, SQLAlchemy, and Requests

• Experience designing, building, and maintaining ETL/ELT data pipelines and workflows

• Exposure to Azure Databricks AI capabilities, such as Vector Search, Genie, and Agent Bricks

• Familiarity with core Databricks technologies, including Apache Spark, Delta Lake, Unity Catalog, and Databricks Workflows

• Hands-on agentic AI experience using frameworks such as LangGraph and Pydantic AI, including building RAG applications or natural-language-to-SQL (NL2SQL) agents

• Strong SQL development and performance-tuning skills, including query-plan analysis, indexing, and query optimization

• Experience with automated testing and Python code-quality practices, including Pytest, type checking, linting, and dependency management

• Strong stakeholder communication skills, including requirements gathering, technical communication, and managing evolving requirements

• Experience with AI-assisted coding tools and agents, such as Claude Code, Codex, Factory Droid, and GitHub Copilot

Secondary

• UI development experience using React.js and Module Federation

• Experience with Azure services such as Key Vault, Application Insights, Microsoft Entra ID, and Azure Storage

• Knowledge of data modeling, database design, and data architecture

• Familiarity with agent architectures and patterns, such as ReAct, Plan-and-Execute, Deep Agents, multi-agent systems, and agent harnesses

• Experience building CI/CD pipelines using GitHub Actions

• Familiarity with containerization and deployment technologies, particularly Docker

• Familiarity with application security, dependency scanning, and container scanning tools such as Mend, Checkmarx, and Aqua Security

• Experience with application observability, including structured logging, metrics, distributed tracing, and correlation IDs

• Experience working with PostgreSQL and Redis, including database migrations and caching patterns

• Familiarity with Git-based development workflows, including pull requests, code reviews, and branching strategies

• Experience working in Agile development environments, including sprint planning, estimation, and iterative delivery