Software Engineering Intern – Agentic AI & Workflow Automation

As a Software Engineering Intern, you will:

• Develop Python-based services, agents, and tooling to support AI workflows and automation.
• Help design and prototype agentic AI patterns (reasoning agents, workflow planners, retrieval pipelines, evaluation harnesses, etc.).
• Contribute to backend engineering tasks such as API development, orchestration logic, and system integration.
• Build, configure, and test AI workflows running on modern platforms (Kubernetes, vector databases such as Milvus, distributed systems).
• Collaborate with other engineers to refine requirements, troubleshoot issues, and improve system performance.
• Document your designs, experiments, and findings in clear engineering artifacts.
• Participate in Agile ceremonies (standups, sprint planning, demos) and contribute to a fast-paced engineering culture.

• A student pursuing a degree in Computer Science, Software Engineering, Data Science, or a related field.
• A self-starter who enjoys solving complex problems and experimenting with new ideas.
• Someone excited about the rapidly evolving world of AI agents and workflow automation.
• Enthusiastic about learning from experienced engineers and contributing to real-world systems.

• Hands-on experience with cutting-edge agentic AI technologies.
• Mentorship from senior engineers and engineering managers.
• Real ownership of impactful engineering deliverables.
• Exposure to enterprise-scale data platforms and AI infrastructure.
• A chance to grow your technical skills and professional network.