Assist in building and integrating AI-powered tools and automation solutions to improve engineering efficiency and developer productivity.
Contribute to the development of scalable AI/ML and Generative AI applications, including workflows involving LLMs, RAG pipelines, and intelligent agents.
Support the design, testing, and optimization of backend services, APIs, and cloud-native applications.
Analyze application logs, test results, and system metrics to identify issues and improve overall platform performance.
Collaborate with cross-functional engineering teams to troubleshoot technical problems and support feature development.
Work on automation, monitoring, and operational tasks related to AI Platform products & services, cloud infrastructure, and deployment pipelines.
Document findings, communicate progress updates, and present technical learnings to mentors and team members.
Follow engineering best practices, security standards, and organizational compliance guidelines.
Demonstrate curiosity, ownership, adaptability, and a willingness to learn emerging AI and cloud technologies in a fast-paced environment.
Qualifications:
Recently completed a Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
Basic programming knowledge in Python, SQL, or Java, with an interest in AI/ML application development.
Familiarity with Machine Learning, Deep Learning, or Generative AI concepts is preferred.
Exposure to technologies such as LLMs, RAG (Retrieval-Augmented Generation), AI Agents, Vector Databases, or MLOps is a plus.
Basic understanding of cloud platforms (GCP, Azure, or AWS. Docker, and Kubernetes is an added advantage.
Interest in building scalable AI platforms, intelligent applications, and data-driven solutions.
Understanding of APIs, backend services, and distributed systems fundamentals is beneficial.
Strong analytical and problem-solving skills with eagerness to learn emerging AI technologies.
Ability to work collaboratively in a fast-paced engineering environment.
Good communication and presentation skills with a proactive and innovative mindset.