You will join a team dedicated to solving complex engineering challenges by integrating intelligent solutions into our workflow. You will collaborate with internal AI initiatives, leverage our cutting-edge internal AI infrastructure, and utilize both internal and external models to build the engineering ecosystem of the future. If you are a developer with a strong Computer Science foundation and a deep passion for Generative AI and Large Language Models (LLMs), we encourage you to apply.
What you will be doing:
Design and develop AI-powered software tools and automation aimed at dramatically improving engineering productivity.
Implement advanced AI workflows, such as Retrieval-Augmented Generation (RAG) and intelligent assistants, to solve real-world development problems.
Collaborate with cross-functional teams and internal AI initiatives to identify bottlenecks and translate them into scalable solutions.
Work hands-on with internal and external AI models (LLMs), orchestrating them to deliver high-quality, reliable outputs.
Stay up-to-date with the rapidly evolving landscape of AI to continuously optimize our tools and methodologies.
What we need to see:
B.Sc. in Computer Science, Software Engineering, or a related field.
3+ years of experience in software development with strong proficiency in Python.
Proven experience with AI application frameworks (e.g., LangChain) and vector databases.
Solid understanding of Generative AI concepts, including RAG, Embeddings, and Prompt Engineering.
Strong problem-solving skills and the ability to work effectively in a collaborative environment.
We are a multi-language team, thus your outstanding verbal English skills are important.
Ways to stand out from the crowd:
Experience building autonomous agents or complex reasoning chains.
Experience taking LLM-based solutions from proof-of-concept to production.
Experience with API integration and developing backend services (e.g., Flask, FastAPI).
Background in DevOps practices, CI/CD pipelines, or Linux environments.
