Hybrid Lead Python Developer: AI-Driven Data Platforms

None; Dallas (TX); Hybrid; USD 140,000 - 180,000; Full time

Job summary

Unknown Company in the Dallas–Fort Worth area is seeking a Lead Developer Python to build data-driven solutions and integrate Generative AI into enterprise workflows.

You will own design and implementation of Python services, mentor junior developers, and collaborate with security and governance teams to ensure compliant, scalable systems.

This hybrid role requires 6–9 years of software development, strong Python, and cloud/DevOps expertise to accelerate data product delivery.

Qualifications

• 6–9 years of professional software development experience with a strong emphasis on Python.
• Strong familiarity in applying Generative AI capabilities, including prompt design, Retrieval-Augmented Generation, embeddings, and vector stores.
• Data-centric engineering experience building services in a data engineering organization; understands enterprise data systems.
• Proven experience building and scaling software solutions in cloud environments (AWS preferred).

Responsibilities

• Strategic Partnership: Collaborate with teams outside of Technology to identify and implement novel AI solutions.
• AI Integration: Embed Generative AI into workflows for developing enterprise data products and ML platforms.
• Technical Excellence: Design, develop, and maintain high-quality Python applications and services.
• Mentorship: Provide technical guidance to junior developers and offshore resources.
• Governance & Security: Ensure solutions meet governance, privacy, and ethics standards.
• Technology Evaluation: Evaluate emerging technologies for practical viability and business value.

Skills

Python

Generative AI

Data engineering

Cloud computing

DevOps

Mentorship

Team collaboration

Tools

Docker

Kubernetes

AWS

CI/CD

Job description

Unknown Company in the Dallas–Fort Worth area is seeking a Lead Developer Python to build data-driven solutions and integrate Generative AI into enterprise workflows.

You will own design and implementation of Python services, mentor junior developers, and collaborate with security and governance teams to ensure compliant, scalable systems.

This hybrid role requires 6–9 years of software development, strong Python, and cloud/DevOps expertise to accelerate data product delivery.