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Full Stack Python/AI Engineer/Cedar Rapids, IA LOCAL

Kelly Services

Cedar Rapids, GAFull-time$110–150K/yrSeen 4 days agoSeen in employer's feed 4 days ago

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At a glance

Compensation
$110–150K/yr
Location
Cedar Rapids, GA
Schedule
Full-time
Work Authorization
Not specified

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Job overview

The Full Stack AI Engineer will build AI-powered applications and automation for aerospace engineering and testing processes. The role focuses on Python, full-stack development, and LLM frameworks such as LangChain and Haystack to create agentic workflows. The engineer will design generative AI tools and prototypes, experiment with emerging technologies, and collaborate with engineers on applications in safety-critical environments.

Skills & qualifications

RequiredNice to have

Skills

Software DevelopmentFull-Stack DevelopmentPythonUnix/LinuxGenerative AILLM FrameworksAI/ML ConceptsExperimentationCommunicationCollaboration

Qualifications

Complex Application Development ExperienceUS Work Authorization

Benefits

Medical Insurance
Dental Insurance
Vision Insurance
Paid Time Off

Full job description

$110000 - $150000

Our client, a leading aerospace technology company, is hiring a full-time, onsite Full Stack AI Engineer to build AI-powered applications and automation used across the aerospace industry. The role centers on Python, full-stack development, and LLM frameworks such as LangChain and Haystack to create agentic workflows that automate testing and engineering processes. This role is 5 days onsite in Cedar Rapids, IA

This is a true builder role. You will design Generative AI tools and proof-of-concepts from the ground up and watch engineers put them to work. Our client wants a hands-on developer who has built AI solutions, whether professionally or through meaningful personal projects, and who enjoys rapidly prototyping, testing, and iterating. You will explore how emerging GenAI technologies can be applied in safety-critical environments, contribute ideas across multiple projects, and work within a collaborative technology team.

Required Skills & Experience

  • Strong hands-on software development experience

  • Full-stack development experience across front end, back end, APIs/integrations, and application logic

  • Strong Python skills

  • Experience with Unix/Linux environments

  • Hands-on experience building and deploying Generative AI applications

  • Experience with LLM frameworks such as LangChain, Haystack, or similar technologies

  • Experience developing complex applications or systems from concept through execution

Desired Skills & Experience

  • Practical understanding of AI/ML concepts through professional work, research, or substantial personal development

  • Curiosity and a willingness to experiment with emerging AI technologies

  • Strong communication and collaboration skills

What You Will Be Doing

Tech Breakdown

  • 35% Python back-end services and integrations

  • 30% Generative AI and agentic workflows (LangChain, Haystack, or similar)

  • 20% Front-end interfaces

  • 15% Unix/Linux environments

Daily Responsibilities

  • 65% Hands On (building GenAI applications, agentic workflows, and testing automation tools)

  • 15% Prototyping and experimenting with emerging GenAI technologies

  • 20% Team Collaboration (working with engineers to identify problems AI can solve and providing technical guidance)

The Offer

  • Bonus eligible

You will receive the following benefits:

  • Medical, Dental, and Vision Insurance

  • Vacation Time

  • Stock Options

Applicants must be currently authorized to work in the US on a full-time basis now and in the future.

Motion Recruitment Partners (MRP) is an Equal Opportunity Employer. All applicants must be currently authorized to work on a full-time basis in the country for which they are applying, and no sponsorship is currently available. Employment is subject to the successful completion of a pre-employment screening. Accommodation will be provided in all parts of the hiring process as required under MRP’s Employment Accommodation policy. Applicants need to make their needs known in advance.

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