Python AI Engineer

Python AI Engineer

Location: Sunrise, FL (Onsite) Fulltime

Experience Required - 8+ Years

We are seeking a skilled Python Developer with strong expertise in PostgreSQL, and PyTest. The role involves building robust data processing solutions, optimizing relational databases, and implementing automated testing frameworks for enterprise-grade applications.

Roles & Responsibilities

• Design and develop data processing pipelines and utilities using Python.

• Java, API, Python, Cloud, Microservice based architecture, Spring boot, Vertex, Kafka, RDBMS, No SQL, Maven, GIT, Jenkins, CI/CD

• Python, AI/ML, Tensorflow, LLM, GenAI

• Implement efficient data ingestion and transformation workflows using Pandas.

• Model, implement, and optimize PostgreSQL schemas and queries for large datasets.

• Develop and maintain automated test suites using PyTest (unit, integration, regression).

• Integrate data and service layers via REST/gRPC and enforce type safety.

• Build and maintain CI/CD pipelines with quality gates and test automation.

• Ensure application observability through logging, metrics, and performance profiling.

• Implement data security and compliance measures (RBAC, encryption, auditing).

• Collaborate with cross-functional teams to deliver production-ready solutions.

• Provide production support and drive root-cause analysis for critical issues

Required Qualification

• 5+ years of professional experience in Python development.

• Expertise in Python and Pandas for data manipulation and analysis.

• Strong SQL skills and hands-on experience with PostgreSQL (query tuning, schema design).

• Proficiency in PyTest for automated testing and CI/CD integration.

• Familiarity with ETL patterns and large-scale data processing.

• Experience with Git-based workflows and CI/CD tools.

• Knowledge of Linux, Docker, and scripting for automation.

• Strong communication and collaboration skills; Agile experience.

Generic Managerial Skills, If any

• Experience with SQLAlchemy, Alembic, and ORM frameworks.

• Familiarity with Airflow or Prefect for workflow orchestration.

• Exposure to Kafka or RabbitMQ for messaging.

• Knowledge of FastAPI or Flask for API development.