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Job Description

Entry-level AI Engineer role in a regulated financial services setting, onsite in Dallas, TX, focused on building practical Generative AI applications and enterprise-grade practices.

Responsibilities

  • Contribute to the development and enhancement of Generative AI applications, including RAG-based solutions, internal copilots, and AI-powered workflows.
  • Participate in prompt engineering, testing, and basic evaluation of LLM outputs.
  • Assist with data ingestion, chunking, embeddings, and retrieval pipelines.
  • Write and maintain clean, well-tested Python code.
  • Leverage cloud-native services on Azure and/or AWS.
  • Contribute to CI/CD workflows and automated testing.
  • Adhere to Responsible AI, security, and compliance guidelines.
  • Collaborate with cross-functional teams to understand and align with business use cases.
  • Document implementations and share knowledge with the team.
  • Stay current with evolving GenAI tools and practices.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, AI/ML, or a related field.
  • 0–5 years of experience in software development, data engineering, or AI/ML (internships count).
  • Foundational understanding of AI and machine learning concepts.
  • Exposure to Generative AI concepts such as LLMs, embeddings, or retrieval-based systems.
  • Hands-on experience with Python.
  • Familiarity with cloud concepts on Azure or AWS.
  • Knowledge of Git and standard software development workflows.
  • Strong problem-solving skills and a desire to learn.
  • Good communication and teamwork abilities.

Technologies

  • Python
  • Azure
  • AWS
  • Git
  • Azure OpenAI
  • OpenAI APIs
  • Hugging Face
  • LangChain
  • Vector databases

NICE TO HAVE

  • Projects involving chatbots, LLMs, or GenAI applications.
  • Exposure to Azure OpenAI, OpenAI APIs, Hugging Face, LangChain, or vector databases.
  • Basic knowledge of DevOps or MLOps concepts.
  • Familiarity with information retrieval or search.
  • Experience in financial services or regulated industries.

WHAT WILL REALLY CATCH OUR EYE

  • Personal or academic AI and GenAI projects.
  • Proven ability to learn new tools quickly.
  • Clear documentation or presentations of technical work.
  • Evidence of collaboration or peer mentoring with teammates.
  • Passion for solving real-world business problems with technology.

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