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Senior Kernel Developer Jobs in Arizona (NOW HIRING)

Cognite

Senior AI Platform Engineer, Atlas AI

Phoenix, AZ · On-site

$121K - $160K/yr

They are seeking a Senior AI Platform Engineer to engineer, build, and operate a multi-cloud ... Kernel, LangChain). • Strong verbal and written communication skills, with the ability to ...

Yantran LLC

Senior Software engineer

Phoenix, AZ

$121K - $160K/yr

Engineer Location: Phoenix, AZ Onsite/ Remote: Onsite. The pay range for this role is ***k- ***k ... JD: C/C++ - Development experience and data structures understanding Linux Window Kernel device ...

Inficare Technologies

Lead AI Engineer

Phoenix, AZ · On-site

$99K - $131K/yr

Mentor senior engineers and raise the technical bar for agentic AI development through example and ... Agent and orchestration frameworks such as LangChain, LlamaIndex, Semantic Kernel, or CrewAI, with ...

Tata Consultancy Service Limited

AI Engineer

Phoenix, AZ · On-site

$100K - $120K/yr

... Semantic Kernel, or CrewAI, with strong judgment about when to use frameworks versus building ... senior engineers and raise the technical bar for agentic AI development through example and ...

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Senior Kernel Developer information

What is the difference between Senior Kernel Developer vs Kernel Engineer?

AspectSenior Kernel DeveloperKernel Engineer
CredentialsBachelor's or higher in Computer Science, experience in kernel developmentSimilar credentials, often with specialized Linux or OS certifications
Work EnvironmentResearch and development, debugging, code optimizationDesign, implementation, testing of kernel modules and components
Industry UsageTech companies, hardware manufacturers, OS developersEmbedded systems, OS vendors, hardware integration

Both roles require strong knowledge of operating systems and kernel architecture. A Senior Kernel Developer typically focuses on advanced development and optimization, while a Kernel Engineer emphasizes designing and implementing kernel components. The roles often overlap but differ mainly in scope and focus within kernel development projects.

What are the most commonly searched types of Kernel Developer jobs in Arizona? The most popular types of Kernel Developer jobs in Arizona are:
What are popular job titles related to Senior Kernel Developer jobs in Arizona? For Senior Kernel Developer jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Senior Kernel Developer jobs in Arizona look for? The top searched job categories for Senior Kernel Developer jobs in Arizona are:
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Senior Kernel Developer jobs near you
Infographic showing various Senior Kernel Developer job openings in Arizona as of June 2026, with employment types broken down into 3% Internship, 61% Full Time, 18% Part Time, 15% Temporary, and 3% Nights. Highlights an 87% Physical, 6% Hybrid, and 7% Remote job distribution.

Python-AI_ML-GenAI- Senior Engineer

Objectways Technologies Llc

Phoenix, AZ

Full-time

Posted 2 days ago

Job description

Role Description
This is a contract, on-site role for a Python AI/ML Senior Engineer, based in Phoenix, AZ. The responsibilities include designing, developing, and deploying robust AI/ML models and solutions to solve customer-specific challenges. The engineer will focus on implementing algorithms related to neural networks, pattern recognition, and statistical modeling, as well as fine-tuning these models for accuracy and scalability. Additional responsibilities include collaborating with cross-functional teams, maintaining high-quality code practices, and staying up-to-date with advanced AI/ML frameworks and tools.
Qualifications
  • Proficiency with distributed/multi-tier systems and application development, including excellent programming skills in languages such as Python.
  • Hands-on experience designing and deploying Generative AI Applications using LLM frameworks (e.g. LangChain, LlamaIndex, Semantic Kernel), embeddings, and vector databases.
  • Experience building Agentic AI systems with autonomous planning, tool/function calling, memory management, RAG, and multi-agent orchestration.
  • Solid understanding of ML/DL fundamentals, prompt engineering, model evaluation, and responsible AI practices.
  • Experience integrating AI solutions with enterprise systems, APIs, event streaming (e.g., Kafka), and relational/NoSQL databases.
  • Familiarity with cloud platforms (AWS/Azure/GCP), containers (Docker), and CI/CD pipelines (Git, Jenkins, Maven).
  • Strong foundation in data structures, system design, APIs (REST/HTTP), and Unix/Linux environments.
  • Excellent communication skills with the ability to translate complex AI concepts into scalable business solutions.
  • Good understanding of data structures, algorithms and design patterns
  • Excellent communication skills, with the ability to influence at all levels across functions, from both technical and non-technical perspectives alike.