Applied AI Intern - Warsaw

Requirements

• Currently pursuing or recently completed (within the last 12 months) a Bachelor's, Master's, or PhD in Computer Science, Engineering, Mathematics, Statistics, or a related field

• Interest in ML, LLMs, generative AI, RAG, AI agents, or data-intensive applications

• Strong programming skills in Python

• Familiarity with version control, testing, debugging, and code reviews

• Ability to work independently on well-scoped tasks, collaborate effectively, and communicate technical ideas clearly

Nice to Have

• A project involving LLMs, RAG, agents, machine learning, or data systems

• Experience with Snowflake, Snowpark, Cortex, Streamlit, Spark, or AWS, Azure, or GCP

• Understanding of distributed systems, model serving, or inference infrastructure

• Experience creating evaluation datasets, test suites, benchmarks, or observability for AI systems

• Previous internship, research, open-source, or personal software engineering experience

What You Will Be Doing

• Build and iterate on AI pipelines, agents, and data applications within team-led customer or product engagements

• Turn business goals into engineering tasks, prototypes, and measurable outcomes with guidance from senior engineers

• Contribute to evaluation frameworks, test datasets, observability, and experiments that improve AI quality

• Help productionize solutions through reliability, safety guardrails, monitoring, and human-review workflows

• Collaborate with customer data science and engineering teams while writing clean, tested Python and SQL

• Participate in design reviews, code reviews, debugging, documentation, and other software development activities

Perks and Benefits

• Paid, full-time internship on the Applied AI engineering team

• Mentorship, regular feedback, and support from experienced AI engineers and researchers

• Hands-on work with Snowflake Cortex, Snowpark, Python, SQL, and modern AI development tools

• Exposure to the engineering lifecycle, including design, implementation, evaluation, testing, deployment, and monitoring

• Opportunities to present your work, collaborate with Product and Engineering, and be considered for future full-time or internship roles