Overnight Data Pipeline Engineer Jobs (NOW HIRING)

Job Title
AI PIPELINE ENGINEER
Location
Huntsville, AL 35806 US (Primary)
Category
Engineering
Job Type
Full-Time
Career Level
Experienced (Non-Manager)
Education
Bachelor's Degree
Security Clearance Required
Secret
Job Description
Igniters operate in the world's most demanding environment. Igniters are self-motivated, mission-driven, and relentless in solving the Warfighters' hardest problems. We move fast, think differently, and execute with precision to tackle high-stakes challenges across AI/ML, space and missile defense intelligence, EMSO, advanced analytics, and programmatic domains. As an employee-owned SDVOSB headquartered in Huntsville, AL, our team delivers mission-critical impact for the Army, Air Force, Space Force, MDA, NASA, DIA, and FBI.
Ignite exists to outpace the threat and deliver results that matter in the moments that count.
Ignite is currently seeking a driven, detail-oriented AI Pipeline Engineer to join our team! In this role, you will get to design, develop, and optimize AI pipelines leveraging cutting-edge tools and frameworks such as LangChain, Open WebUI, Embeddings Databases, and Azure Foundry to deliver impactful AI solutions.
Job Requirements
Responsibilities include, but are not limited to:
• Design and implement AI pipelines for data ingestion, processing, and model deployment using frameworks like LangChain and Open WebUI.
• Develop and manage embeddings databases to support semantic search, recommendation systems, and other AI-driven applications.
• Integrate AI solutions with cloud platforms such as Azure Foundry to ensure scalability, reliability, and security.
• Collaborate with cross-functional teams to identify requirements and deliver AI solutions tailored to business needs.
• Optimize AI workflows for performance and efficiency, ensuring seamless integration with existing systems.
• Stay updated on the latest advancements in AI tools, frameworks, and methodologies to continuously improve pipeline performance.
• Document processes, workflows, and best practices for AI pipeline development and maintenance.
Required Qualifications
• Bachelor's degree in Computer Science, Engineering, or a related STEM field.
• 3-5 years of experience working on AI pipelines, including data processing, model deployment, and integration.
• Proficiency in frameworks such as LangChain, Open WebUI, and embeddings databases.
• Experience with cloud platforms like Azure Foundry for AI solution deployment.
• Strong programming skills in Python or similar languages, with a focus on AI and data processing libraries.
• Ability to work independently while collaborating effectively with team members.
• Excellent problem-solving skills and attention to detail.
Desired Qualifications
• Familiarity with semantic search and recommendation systems.
• Knowledge of distributed systems and scalable architectures for AI pipelines.
• Experience with containerization tools like Docker and orchestration platforms like Kubernetes.
• Understanding of MLOps practices for continuous integration and deployment of AI models.
• Strong written and verbal communication skills to document and present technical solutions.
Security Clearance Requirements:
Must have an active Secret Security Clearance
Education Requirements:
• Bachelor's Degree in STEM Discipline
Other Requirements:
Must be a US citizen and be able to hold an active Security Clearance at the Secret Level.
We are equal opportunity/affirmative action employers, committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, disability, or protected veteran status, or any other protected characteristic under state or local law.
Accommodation Request: If you are a qualified individual with a disability or are a disabled veteran and are unable or limited in your ability to use or access our Careers sites as a result of your disability, you have the right to receive assistance in completing the application process. Please send your request to IgniteHR@IgniteNow.Net