Lead Python & GenAI Engineer for Data Platforms

Vistra Corp

Irving (TX)

Hybrid

USD 150,000 - 190,000

Full time

14 days+

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Job summary

Vistra Corp in Irving, Texas seeks a Lead Developer (Python, GenAI) to build data-driven solutions. You will own design and implementation of Python-based services that embed Generative AI into our data platforms, collaborating with Enterprise Data & Analytics and partner teams.

The role emphasizes hands-on development, testing, documentation, and mentoring junior developers, with a focus on cloud-native practices (AWS, Docker, Kubernetes) and CI/CD to accelerate delivery while ensuring

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 and embeddings.
  • Data-centric Python developer with enterprise data systems experience.
  • Experience building scalable software in cloud environments (AWS preferred).
  • Ability to stay current with AI trends and pragmatically apply them.
  • DevOps background: Infrastructure as Code, Docker/Kubernetes, and CI/CD.

Responsibilities

  • Collaborate with teams outside of Technology to identify and implement AI solutions.
  • Embed Generative AI into workflows for enterprise data products and ML platforms.
  • Design, develop, and maintain high‑quality Python applications and services.
  • Provide technical guidance to junior developers and offshore resources.
  • Partner with security, risk, and governance teams to meet enterprise standards.
  • Evaluate emerging technologies for practical business value.

Skills

Python
Generative AI
Data engineering
AWS
DevOps
Docker
Kubernetes
CI/CD
Prompt design
Embeddings & vector stores

Tools

Terraform / IaC
CI/CD pipelines

Job description

Vistra Corp in Irving, Texas seeks a Lead Developer (Python, GenAI) to build data-driven solutions. You will own design and implementation of Python-based services that embed Generative AI into our data platforms, collaborating with Enterprise Data & Analytics and partner teams.

The role emphasizes hands-on development, testing, documentation, and mentoring junior developers, with a focus on cloud-native practices (AWS, Docker, Kubernetes) and CI/CD to accelerate delivery while ensuring

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