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Apprentice Generative Ai Engineer Jobs in Alabama

Cloudera

$150K - $185K/yr

Sales Engineering Seniority Level: Mid-Senior level At Cloudera, we empower people to transform ... You have strong experience with AI ecosystems (Agentic AI, Ethical AI solutions, Generative AI ...

TechFlow, Inc.

Technical Writer

Montgomery, AL · On-site +1

Working closely with software engineers, architects, database administrators, DevSecOps engineers ... Leverage Government-approved generative AI and digital authoring tools to improve documentation ...

TechFlow, Inc.

Technical Writer

Montgomery, AL

Working closely with software engineers, architects, database administrators, DevSecOps engineers ... Leverage Government-approved generative AI and digital authoring tools to improve documentation ...

deciBel Research, Inc.

Jr. Software Developer

Huntsville, AL · On-site

$62K - $81K/yr

Experience developing applications using Large Language Models (LLMs), generative AI frameworks, or machine learning technologies * Experience integrating data from engineering, project management ...

Starfish

Full Stack Software Engineer

Huntsville, AL · Hybrid

Our team provides superior research, development, and engineering services to the Federal ... Experience with AI and Generative AI technologies, including platforms such as Azure OpenAI, OpenAI ...

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Apprentice Generative Ai Engineer information

What is the difference between Apprentice Generative Ai Engineer vs Junior Data Scientist?

AspectApprentice Generative Ai EngineerJunior Data Scientist
Required CredentialsBasic understanding of AI, programming, and machine learning fundamentalsBachelor's degree in Data Science, Computer Science, or related field
Work EnvironmentHands-on training in AI development teams, often in tech companies or startupsData analysis, modeling, and reporting in various industries
Employer & Industry UsageTech companies focusing on AI products, research labs, startupsFinance, healthcare, marketing, and other data-driven sectors

The Apprentice Generative Ai Engineer role is focused on gaining practical experience in AI development, often with mentorship, while a Junior Data Scientist typically handles data analysis and modeling tasks. Both roles require foundational knowledge, but the Apprentice role emphasizes learning and skill development in generative AI technologies.

What are the most commonly searched types of Generative Ai Engineer jobs in Alabama? The most popular types of Generative Ai Engineer jobs in Alabama are:
What are popular job titles related to Apprentice Generative Ai Engineer jobs in Alabama? For Apprentice Generative Ai Engineer jobs in Alabama, the most frequently searched job titles are:
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Apprentice Generative Ai Engineer jobs near you
SOFTWARE DEVELOPER/ENGINEER (CYBER)

SOFTWARE DEVELOPER/ENGINEER (CYBER)

Quantum Research International Inc

Huntsville, AL • On-site

Full-time

Posted 13 days ago

Job description

Quantum Research International, Inc. (Quantum) provides our national defense and federal civilian and industry customers with services and products in the following main areas: 1) Cybersecurity and Information Operations; 2) Space Operations and Control; 3) Aviation Systems; 4) Ground, Air and Missile Defense, and Fires Support Systems; 5) Intelligence Programs Support; 6) Experimentation and Test; 7) Program Management; and (8) Audio/Visual Technology Applications. Quantum's Corporate Office is located in Huntsville, AL, but Quantum actively hires for positions nationwide and internationally. We pride ourselves on providing high quality support to the U.S. Government and our Nation's Warfighters. In addition to our corporate office, we have physical locations in Colorado Springs, CO; Crestview, FL; Orlando, FL; and Tupelo, MS.

Mission:

Quantum Research Int. is seeking an Intermediate Software Developer/Engineer to support the development and enhancement of a Retrieval-Augmented Generation (RAG) application that leverages Large Language Models (LLMs) for intelligent inference and response generation. This is a government contract role focused on building secure, reliable AI-assisted systems. The ideal candidate has strong software engineering skills across multiple languages and a solid understanding of AI/ML concepts, with hands-on interest in applied LLM technologies.


Job Responsibilities:

  • Design, develop, and maintain RAG pipelines integrating vector databases, embeddings, and LLMs for accurate, context-aware inference.
  • Implement and optimize retrieval logic, prompt engineering, and post-processing of LLM outputs.
  • Build and integrate backend services using .NET/C#, Go, and/or Python.
  • Collaborate with AI/ML engineers, data scientists, and stakeholders to translate requirements into production-grade features
  • Ensure application security, performance, scalability, and compliance with government standards.
  • Troubleshoot and optimize AI-assisted workflows, including latency, accuracy, and cost considerations.
  • Participate in code reviews, testing, and documentation in an Agile environment.


Required Skills Qualifications:

  • Active TS or ability to obtain TS/SCI clearance
  • At least 3+ years of professional software development experience
  • Strong experience in at least two of the following: .NET/C#, Go (Golang), Python. Solid understanding of all languages listed is a plus.
  • Familiarity at the developer level with AI/ML fundamentals, including embeddings and vector searching, RAG patterns, LLM inference (prompting, context windows, token management), and basic evaluation metrics for generative AI.
  • Experience building RESTful APIs, microservices, or backend systems.
  • Experience with non-frontier (open) AI models running in local or self-hosted environments.

Desired Skills and Qualifications:

  • Direct experience developing and deploying AI-assisted applications (chatbots, knowledge assistants, document intelligence tools)
  • Hands-on work with RAG frameworks/tools such as LangChain, LlamaIndex or similar.
  • Experience implementing vector databases such as Pinecone, Weaviate, Chroma, pgvector, etc.
  • Familarity with Python data/AI ecosystem (NumPy, Pandas, Hugging Face, sentence-transformers)
  • Knowledge of .NET integrations with AI services or Go-based backend services for high-performance AI workloads
  • Experience developing in secure/controlled environments (FedRAMP, gov-cloud, air-gapped enclaves).
  • Understanding of MLOps basics (model versioning, monitoring, CI/CD for AI).



Equal Opportunity Employer/Affirmative Action Employer M/F/D/V:
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, sexual orientation, gender identity, or any other characteristic protected by law. *Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.


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