AI Engineer

Posted Yesterday
Dallas, TX, USA
In-Office
Entry level
Financial Services
The Role
Early-career AI Engineer contributing to generative AI solutions (RAG, copilots, workflows). Support prompt development, retrieval and embedding pipelines, write Python code, use cloud services (Azure/AWS), participate in CI/CD, follow Responsible AI and compliance, and collaborate cross-functionally while learning enterprise engineering practices.
Summary Generated by Built In

This is an early IT career; hands-on role designed for candidates who want to build a strong foundation in Artificial Intelligence and Generative AI systems. You will contribute to real-world AI solutions—such as retrieval-based applications, internal copilots, and workflow automation—while learning enterprise-grade engineering practices in a regulated financial services environment.

What You’ll Do

• Assist in building and enhancing Generative AI applications such as RAG-based solutions, internal copilots, and AI-powered workflows.
• Contribute to prompt development, testing, and basic evaluation of LLM outputs.
• Support implementation of data ingestion, chunking, embeddings, and retrieval pipelines.
• Write and maintain clean, well-tested code using Python.
• Work with cloud-native services (Azure and/or AWS).
• Participate in CI/CD pipelines and automated testing.
• Learn and follow Responsible AI, security, and compliance guidelines.
• Collaborate with cross-functional teams to understand business use cases.
• Document implementations and contribute to knowledge sharing.
• Stay current with emerging GenAI tools and practices.

What You Need to Have

• 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 (Azure or AWS).
• Knowledge of Git and software development workflows.
• Strong problem-solving skills and eagerness to learn.
• Good communication and teamwork skills.

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.
• Exposure to financial services or regulated industries.

What Will Really Catch Our Eye

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

Skills Required

  • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, AI/ML, or 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 (Azure or AWS).
  • Knowledge of Git and software development workflows.
  • Strong problem-solving skills and eagerness to learn.
  • Good communication and teamwork skills.

Cetera Financial Group Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Cetera Financial Group and has not been reviewed or approved by Cetera Financial Group.

  • Healthcare Strength Health coverage is described as comprehensive, including medical, dental, vision, mental‑health support, and optional pet insurance. Feedback suggests the breadth of coverage is a relative strength.
  • Leave & Time Off Breadth Time off includes a sizable PTO allotment with paid holidays, a dedicated wellness day, and a paid volunteer day. Feedback suggests the time‑off package exceeds basic employer offerings.
  • Retirement Support Retirement support includes a 401(k) with company match and access to one‑on‑one financial planning. Feedback suggests the retirement program can be competitive, though specifics may depend on role or plan.

Cetera Financial Group Insights

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The Company
HQ: San Diego, CA
1,129 Employees
Year Founded: 1981

What We Do

Cetera Financial Group empowers the delivery of professional financial advice to individuals, families and company retirement plans across the country. We support independent and institutions-based advisors, tax professionals, and bank and credit union investment programs, ensuring they have the objective research, regulatory guidance, technology, tools and resources they need to help them and their clients pursue their dreams for the future. While our multiple distinct firms allow us to customize how we serve the needs of each advisor and investment program, all are united through our exclusive Advice-Centric Experience™, which makes the delivery of financial insight and advice more efficient, more transparent, and more human. Cetera Financial Group” refers to the network of independent retail firms encompassing, among others, Cetera Advisors LLC, Cetera Advisor Networks LLC, Cetera Investment Services LLC (marketed as Cetera Financial Institutions or Cetera Investors), Cetera Financial Specialists LLC, and First Allied Securities, Inc. All firms are members FINRA / SIPC. Individuals affiliated with Cetera firms are either Registered Representatives who offer only brokerage services and receive transaction-based compensation (commissions), Investment Adviser Representatives who offer only investment advisory services and receive fees based on assets, or both Registered Representatives and Investment Adviser Representatives, who can offer both types of services

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