Senior Python AI Developer

At Suvoda, we’re not only passionate about the work that we do and the impact that it has on human lives, but we’re passionate about the people who make it happen! Every day, it is our priority to bring in talented and motivated individuals and create a workplace that drives, engages and retains them.

We are open to both local and fully remote candidates across Romania for this role.

What Makes Suvoda a Great Place to Work?

Here are just a few highlights:

• The flexibility: Suvoda creates the perfect environment for people to integrate their work and life, by offering flexible working hours
• The growth and innovation: As part of a growing team, you’ll have lots of opportunities for career development and be exposed to the latest technologies due to our focus on innovation
• The office: Our newly renovated, modern office space is located in the city center and is equipped with comfortable work spaces, collaborative gathering areas and modern technology that easily connects you to all of our global offices
• The benefits: You’ll have access to a robust benefits package, meal tickets, a top subscription from Romania’s top healthcare provider, a fitness stipend, and competitive salaries with bonus plans
• The industry: By working in clinical trials, you’’ll be part of a challenging and rewarding industry that will allow you to develop your skills quickly while doing your part to change the world!

What Should You Expect?

We are looking for a senior Python developer, with AWS-centric SRE skills, to help us build out a set of AI-applications across Suvoda. These applications are built around LangChain in Python, and deployed via AWS.

Required experience:

• over 5 years of Python programming for production apps
• SQL databases & mapping libraries
• Setting up Python CI/CD pipelines on AWS
• Building of REST APIs for backend apps using FastAPI, Django or similar

Ideally have:

• Experience with data science libraries, including NumPy, SciPy and Pandas
• Some front-end experience with Typescript/React/MaterialUI

Bonus points, but we’ll train if candidate is a very strong developer:

• Experience of building RAG applications, using LangChain or Semantic Kernel
• Embedding, chunking and vectorizing enterprise data sources for use with LLMs
• Training and fine tuning LLMs
• Use of open-source LLMs

We are prepared to consider fast, motivated, principled Python developers that can learn quickly for these roles, over those who already have a full AI skillset. This role will involve fast context switching between the applications and infrastructure we need to build, so flexibility is key.