2027 Software Engineering Intern – Agentic AI & Workflow Automation

Hakkōda, an IBM Company, is seeking a Software Engineering Intern to help build next-generation agentic AI capabilities and automated workflows. The role involves developing Python-based services and tooling, prototyping AI agent patterns, contributing to backend systems and integrations, and testing AI workflows on modern infrastructure while collaborating in an Agile engineering environment.

What you'll do:

• 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

What they're looking for:

• A student pursuing a degree in Computer Science, Software Engineering, Data Science, or a related field
• Strong proficiency in Python, including experience with common libraries such as requests, pydantic, pandas, or asyncio
• Solid understanding of software engineering fundamentals: data structures, algorithms, debugging, testing
• Familiarity with REST APIs, microservices, or event-driven systems
• Curiosity and willingness to explore agentic AI, LLMs, and workflow automation frameworks
• Ability to work collaboratively in a team environment
• Experience with AI/ML libraries (OpenAI SDK, LangChain, Hugging Face, or similar)
• Exposure to Kubernetes, Docker, or cloud-native environments
• Understanding of vector databases (e.g., Milvus, Pinecone, Weaviate)
• Knowledge of asynchronous programming or distributed systems
• Experience building data pipelines or workflow orchestration tools
• Familiarity with Git, CI/CD, and modern engineering practices

Benefits:

• 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.
• Hybrid internship in Armonk, US.