AI Software Development Intern

Intel is hiring an AI Software Development Intern in Gdansk, Poland. Level rates it ; you can apply on Intel.

Level's read on this job

On Level's scale, this role is Builds AI ●●●●: the job is building AI systems.
The posting mentions vLLM, RAG and AI agents among its tools and skills.
Level classes it as an internship.
Intel has 726 other open roles on Level.
Posted in the last few days.

AI in this role

vllm

ragai-agentsai-automation

Job Details:

Job Description:

Join Intel's Datacenter and AI Software Ecosystem Engineering team to help accelerate the deployment and optimization of Generative AI solutions. This internship focuses on evaluating, benchmarking, and optimizing large language model (LLM) inference workloads across Intel platforms using state-of-the-art serving frameworks such as vLLM, SGLang, and OpenVINO. You will work on AI infrastructure, performance analysis, and cloud-native deployment solutions spanning on-premises and public cloud environments.

Project Context
Generative AI is rapidly transforming enterprise applications, with organizations increasingly deploying Large Language Models (LLMs) for conversational AI, knowledge retrieval, software development, content generation, and intelligent automation. As model sizes and user adoption continue to grow, delivering low-latency, cost-efficient, and scalable AI inference becomes a critical challenge.
Modern AI serving stacks combine model serving frameworks, optimized inference engines, cloud infrastructure, and observability platforms to deliver production-ready AI services. Organizations must balance performance metrics such as throughput, Time to First Token (TTFT), Time per Output Token (TPOT), latency, scalability, and total cost of ownership (TCO) while supporting a diverse range of deployment environments spanning on-premises datacenters, private clouds, and public cloud platforms.
This internship focuses on developing and validating modern AI inference solutions using technologies such as vLLM, SGLang, and OpenVINO. The work will involve deploying and benchmarking state-of-the-art LLMs, analyzing inference performance across Intel platforms, automating testing and deployment workflows, and evaluating cloud-native AI architectures. The objective is to help build scalable, efficient, and production-ready AI serving solutions that enable customers to maximize the value of Generative AI deployments.

What You'll Work On
You will explore the design, deployment, and optimization of Generative AI infrastructure, including:
- LLM deployment and serving: Deploy and evaluate large language models using frameworks such as vLLM, SGLang, and OpenVINO
- Performance analysis: Measure and optimize serving metrics including throughput, latency, TTFT, TPOT, concurrency, and resource utilization
- AI benchmarking: Develop automated benchmarking workflows to characterize model performance across different hardware and software configurations
- Cloud infrastructure: Deploy and evaluate AI workloads in AWS and Google Cloud Platform environments
- DevOps and automation: Build CI/CD pipelines, test automation, and infrastructure tooling using Jenkins, Python, and Linux-based environments
- Data management: Design and maintain systems for storing, querying, and analyzing benchmarking and telemetry data using PostgreSQL and related technologies
- Solution validation: Investigate trade-offs between performance, scalability, accuracy, and cost across various deployment scenarios

Why This Internship?
- Cutting-edge AI engineering: Work on real-world Generative AI deployment and inference optimization challenges
- Industry impact: Contribute to technologies that help customers deploy and scale AI solutions on Intel platforms
- Hands-on experience: Gain practical expertise with LLM serving frameworks, cloud infrastructure and execution
- Mentorship: Learn from experts in AI systems, performance engineering, cloud computing, and software development
- Broad technical exposure: Develop skills across AI, Linux, DevOps, cloud computing, databases, and infrastructure automation
- Intel ecosystem: Build deep knowledge of AI deployment and optimization on Intel Xeon processors and Intel AI software solutions

Qualifications:

Required Qualifications:
- Strong background in Artificial Intelligence, Machine Learning, Computer Science, or related field
- Programming skills: Proficiency in Python and experience developing software applications and automation tools
- LLM knowledge: Understanding of transformer-based generative AI models, inference workflows, tokenization, quantization, and serving architectures
- Linux proficiency: Experience working in Linux environments, shell scripting, system monitoring, and troubleshooting
- Academic standing: Currently enrolled in a Bachelor's, Master's, or PhD program in Computer Science, Artificial Intelligence, Software Engineering or related field

Preferred Qualifications:
- Experience with one of LLM serving frameworks such as vLLM, SGLang, TensorRT-LLM, TGI, or similar
- Experience benchmarking and performance tuning AI inference workloads

- Cloud fundamentals: Experience with AWS and/or Google Cloud Platform services
- DevOps knowledge: Understanding of CI/CD concepts and tools such as Jenkins, Git, and containerized workflows
- Knowledge of model optimization techniques including quantization, pruning, KV-cache optimization, and speculative decoding
- Experience working with container orchestration technologies such as Kubernetes and Docker
- Experience building APIs and services using Python frameworks such as FastAPI
- Personal or academic projects involving LLM deployment, retrieval-augmented generation (RAG), AI agents, or inference optimization

Take the next step in your career by joining a team passionate about advancing the future of AI software. This internship offers a unique opportunity to develop your skills, contribute to impactful projects, and grow alongside industry-leading experts.

Job Type:

Student / Intern

Shift:

Shift 1 (Poland)

Primary Location:

Poland, Gdansk

Additional Locations:

Posting Statement:

All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

Position of Trust

N/A

EU Salary

We offer a total compensation package that ranks among the best in the industry.

The minimum Annual Salary for this job which could be performed in Poland is: 68 880,00 zł The job posting reflects the minimum base compensation for this role. Our standard internship rates are aligned with the specific job role and degree level. As part of our total compensation approach, the final offer may also include additional pay components and benefits. Your recruiting team will provide the confirmed base salary along with any applicable total compensation elements upon employment offer delivery.

Work Model for this Role

This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change.

How we rate this

AI Software Development Intern at Intel rates 95 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

AI Software Development Intern is an open job at Intel.
Level rates this role AI Level 4 of 4: Builds AI.
The role is based in Poland, Gdansk.
The job was posted on October 20, 2026.
Seniority: intern.
Applications are handled by Intel. Apply on Intel

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

RAGAI agentsAI AutomationvLLM

Questions you could be asked

How would you design a retrieval step so the model answers from real data instead of guessing?
How do you decide when an AI agent can act on its own versus asking for approval first?
Tell me about a workflow you automated with AI tools, end to end.
What's a project where you used vLLM hands-on?
How would you decide a model or AI system is ready to ship?

Adapt your resume

List these exact terms on your resume: RAG, AI agents, AI Automation, and vLLM. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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