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Python Gen AI Developer

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Jobs via Dice
Job Type   /   Job Level
Full-time   /   Others/Any
Job Location
Irving, TX
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Dice is the leading career destination for tech experts at every stage of their careers. Our client, HTD Resources, LLC, is seeking the following. Apply via Dice today!

Role: Python Gen AI Developer

Mode: Hybrid (3 days onsite per week)

Duration : Fulltime

Visas: USC/EAD EAD

Relocation: Locals only

Location: USA - New York | Irving | Tampa / CANADA - Toronto

Job description:

We are seeking an experienced Python Generative AI Developer to support our banking client in building next-generation AI-powered solutions. The ideal candidate will have strong expertise in Python development, Generative AI frameworks, and experience working within financial services or regulated environments.

Key Responsibilities

  • Design and develop scalable applications using Python and Generative AI technologies
  • Build and integrate LLM-based solutions (e.g., chatbots, document processing, automation tools)
  • Work with frameworks like LangChain, LlamaIndex, OpenAI APIs, Hugging Face
  • Develop data pipelines and AI workflows using PySpark / big data tools
  • Collaborate with business stakeholders, data scientists, and engineering teams
  • Ensure compliance with banking regulations, data security, and governance standards
  • Optimize model performance, prompt engineering, and deployment strategies
  • Participate in code reviews, testing, and production support

Required Skills & Qualifications

  • 6+ years of experience in Python development & overall 8+ years in Software development
  • Hands-on experience in Generative AI / LLMs
  • Strong knowledge of REST APIs, microservices architecture
  • Experience with cloud platforms (AWS / Azure / Google Cloud Platform)
  • Familiarity with vector databases (e.g., Pinecone, FAISS, ChromaDB)
  • Experience with PySpark / data engineering is a plus
  • Understanding of banking / financial services domain preferred
  • Strong problem-solving and communication skills

Nice to Have

  • Experience in model fine-tuning and prompt optimization
  • Exposure to MLOps / CI-CD pipelines
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