About the Role
As AI capabilities rapidly evolve, we are building a unified AI-powered productivity platform to transform how engineering work gets done across the organization.
In this role, you will design and deliver AI tools, systems, and workflows that augment developers, streamline processes, and significantly boost engineering efficiency and quality. You will work at the intersection of AI and software engineering, turning cutting-edge AI capabilities into practical, high-impact internal solutions.
What You Will Do
Design and build internal AI productivity tools (e.g., coding assistants, knowledge retrieval systems, workflow automation tools)
Develop LLM-powered applications for engineering use cases such as code generation, code understanding, and test generation
Integrate AI capabilities into the end-to-end software development lifecycle (from requirements to deployment)
Partner with engineering teams to identify bottlenecks and deliver AI-driven solutions
Experiment with and implement techniques such as Prompt Engineering, RAG (Retrieval-Augmented Generation), and AI Agents
Continuously evaluate and adopt emerging AI technologies to enhance internal platforms
What We're Looking For
Bachelor’s degree or above in Computer Science or a related field
Strong programming skills in at least one language (e.g., Python, Java, Go, JavaScript)
Solid understanding of data structures and algorithms
Basic understanding of large language models (LLMs) and their practical applications
Experience using AI tools such as ChatGPT, Copilot, or similar
Familiarity with backend or web development fundamentals
Understanding of APIs and system integration
Strong problem-solving skills and a proactive, ownership-driven mindset
Good communication and collaboration skills
Bonus Points
Hands-on experience with Prompt Engineering, RAG, or AI Agents
Experience building AI tools, developer tools, or internal platforms
Exposure to DevOps, CI/CD, or engineering automation
Experience with knowledge systems, search systems, or documentation platforms
Contributions to open-source projects or active GitHub portfolio