AI Assisted Software and Tool Engineer

Your responsibilities

• Responsible for project execution with cross functional teams, with a focus on technical leadership which leads to the overall success of the project.

• This includes working with various teams to drive all aspects of such technology adoption:

•Evaluate large foundation models and AI assisted tools while ensuring critical requirements are covered.

• Prototype and develop AI pipelines, including data preprocessing, model training or finetuning, to address various needs and usecases

• Capture and share best-practice knowledge

Who we’re looking for

To ensure your success in this role, the following experience is needed:

• Experience with technical leadership with cross-team/org collaboration and showcases a good understanding of the challenges and requirements associated with embedded development (software and tools)

• Excellent problem-solving and critical-thinking skills with the capacity to iterate on shared ideas with partner engineers and teams

• Proficient in Python and have experience with ML libraries and frameworks such as PyTorch, TensorFlow or Keras.

• Hands-on experience using large foundation models (e.g. LLMs) and associated tool chains (e.g. LangChain) and APIs to build applications, tools and workflows for production

• Familiar with cloud-based platforms and services, such as AWS or Azure.

• English language on good communication level – good reading, writing and speaking.

Nice-to-Have Qualifications

• Familiarity with deploying AI solutions at scale

• Prior experience in enterprise, multi-stakeholder communication

• Prior knowledge and experience with Hugging Face libraries: Transformer, PEFT, Accelerate etc.

• Knowledge of LLM fine tuning methods

• Prior knowledge and experience with RAG & multi-agent systems

• Prior experience with coding agents (e.g. Github Copilot, Cursor, Claude Code, etc)

Required: Bachelor’s, Computer Engineering and/or Computer Science and/or Electrical Engineering