Lead Developer Generative AI / Python

IDR, Inc.
Dallas, TX, United States
7 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
6 years minimum
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Amazon Web Services Cloud Computing Continuous Integration Information Engineering DevOps Python (Programming Language) Cloud Services Software Engineering Enterprise Data Management Retrieval-Augmented Generation Prompt Engineering
+9 more
Software Application Programming Generative AI Agentic-AI Fastapi Containerization Kubernetes Infrastructure Automation Frameworks Automation Anywhere Docker

Job description

  • Design and develop Python applications, services, and tools supporting enterprise data and AI workflows.
  • Build GenAI solutions using prompt design, Retrieval-Augmented Generation (RAG), embeddings, vector stores, and AI agents.
  • Develop and scale cloud applications, preferably in AWS.
  • Partner with cross-functional stakeholders to translate business needs into secure, high-impact solutions.
  • Mentor developers and promote AI adoption through knowledge sharing and technical guidance.
  • Improve development workflows through automation, Infrastructure as Code, containerization, and CI/CD.
  • Evaluate emerging AI technologies and apply them to practical business use cases.

Requirements

  • 6+ years of professional software development experience with strong Python expertise.
  • Hands-on experience applying Generative AI patterns, including RAG, embeddings, vector stores, prompt design, and agentic AI.
  • Experience building data-centric services and tools within a data engineering organization.
  • Understanding of enterprise data systems and the challenges of developing applications around them.
  • Proven experience building and scaling cloud solutions; AWS preferred, with other cloud platforms considered.
  • Solid DevOps experience, including Infrastructure as Code, Docker/Kubernetes, and CI/CD pipelines.
  • Ability to lead technical delivery, mentor teams, and stay current with emerging AI capabilities.

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