We are looking for a motivated student specializing in AI engineering to develop innovative solutions for our global client base.

We’re a small team (not including the bots) of AI enthusiasts who love to work on challenging projects involving Machine Learning, LLM Engineering, Data Engineering, and everything else data or AI-related. We often collaborate with DevOps, Backend, QA, and System Architect teams and have delivered AI-powered solutions for industries like smart devices, hospitality, and healthcare.

Our tech stack depends on the project, but we mostly use Python and its community-powered libraries and frameworks. We’re excited about creating novel approaches for yet unsolved problems, automating jobs that usually consume too much time, and using cloud technologies to scale everything up.

Qualifications & Experience

a student of computer science, engineering, natural sciences, or equivalent, able to work at least 30 hours a week
in-depth knowledge one of programming languages (ideally, Python)
hands-on experience building applications using LLM
experience using AI tools to enhance efficiency and workflow
ability to adapt to cross-functional teams and new ways of working
passion for learning and exploring new technologies
positive attitude towards work and new challenges
strong communication skills
excellent command of written and spoken English

Your responsibilities

planning, developing, deploying, and maintaining various software solutions
writing clean, maintainable, and thoroughly tested code
rolling out new features and analyzing results based on feedback from QA Engineers and users
utilizing agile methodologies in development
participating in code reviews, pairing, knowledge-sharing sessions
proactively collaborating with other developers in cross-functional teams as well as with stakeholders and clients
presenting your solutions to colleagues
continually improving your skills

The selection process

01 First interview

You talk to the HR person leading you through the selection process. You get acquainted with Infinum, your potential future team and position, while we also get to know you.

02 Take-home assignment

You’ll have approximately 48 hours to complete the assignment designed to show you the usual tasks and give you a better sense of your role. It also gives us an insight into your skills and experience with relevant technologies. Don’t worry if you haven’t worked with some of them before – we also want to see the way you’ll approach something new.

03 Final interview

Usually, you talk to the Management or Head of the department, your future Team Lead, and an HR person. You get a deeper insight into the position and our expectations, while we get the opportunity to ask you more specific questions.

04 Offer

All going well, in this stage we send you the offer, which includes all the information from salary details, vacation days and other perks and benefits of working at Infinum.

00 Next thing you know

You’ll be automating yourself out of tedious tasks.

Tools
we use

Productive

We use Productive for time tracking, budgeting, and project management. It helps us to have all the information in one place.

Slack

We use Slack for work and for fun. It’s our go-to tool for maintaining sanity both in office and remote.

Handbook

Through the years, we’ve built a vast repository of knowledge that serves as our guide and shows how we make our applications and how our offices work.

LangChain & LangGraph

We leverage these frameworks to streamline our LLM integrations and build complex reasoning workflows.

LLMs

We use various LLMs including Sonnet 3.5, Sonnet 3.7, GPT-4o, o3-mini, GPT-4o-mini, Flash 1.5, and Flash 2.0 across environments like Voyage, VertexAI, Anthropic, OpenAI, and AWS Bedrock.

FastAPI

Our backend of choice for building high-performance APIs with Python.

Streamlit & FastHTML

We create interactive, responsive user interfaces for our AI applications.

PostgreSQL & PgVector

We rely on PostgreSQL databases with vector extensions for efficient semantic search capabilities.

What do we offer?

Feedback and feedforward

Honest communication fuels growth. In our 1 on 1 sessions, 360 reviews, and career progression meetings, we discuss what is great and what could be improved.