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AI​/ML Lead

Job in Irving, Dallas County, Texas, 75084, USA
Listing for: Programmers.io
Full Time position
Listed on 2026-06-02
Job specializations:
  • Software Development
    AI Engineer, Cloud Engineer - Software
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

Location
- Dallas TX, Tampa FL, Jersey City NJ

Terms-Direct Hire

Job Description

We are seeking an experienced Senior Generative AI Developer to design and implement cutting-edge AI solutions leveraging Retrieval-Augmented Generation (RAG) techniques. The ideal candidate will have strong expertise in Python programming, FastAPI, and cloud platforms (AWS, Azure, or GCP). This role requires a deep understanding of system architecture design, scalable APIs, and end-to-end AI solution development.

Key Responsibilities
  • Architect and develop Generative AI applications using RAG frameworks for enterprise-scale solutions.
  • Design and implement robust system architectures for AI-driven platforms ensuring scalability, security, and performance.
  • Build and optimize APIs using FastAPI for seamless integration with AI models and data pipelines.
  • Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows.
  • Implement data ingestion, preprocessing, and retrieval mechanisms for large-scale knowledge bases.
  • Ensure compliance with best practices for cloud deployment (AWS, Azure, or GCP).
  • Conduct performance tuning and optimization of AI models and APIs.
  • Stay updated with the latest advancements in Generative AI, LLMs, and RAG methodologies.
Required

Skills & Qualifications
  • 8+ years of professional experience in software development and system design.
  • Strong proficiency in Python and experience with FastAPI for API development.
  • Hands-on experience with Generative AI frameworks and RAG architectures.
  • Solid understanding of system and architecture design principles for distributed applications.
  • Experience deploying solutions on any major cloud platform (AWS, Azure, GCP).
  • Familiarity with vector databases, embedding models, and retrieval pipelines.
  • Strong problem-solving skills and ability to work in a fast-paced environment.
Preferred Qualifications
  • Experience with LLM fine-tuning, prompt engineering, and model evaluation.
  • Knowledge of containerization (Docker) and orchestration (Kubernetes).
  • Exposure to CI/CD pipelines and Dev Ops practices.
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