AI Engineer
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.