Entry Level Software Engineering – Agentic AI & Workflow Automation 2027

Hakkōda, an IBM Company, is seeking an entry-level software engineer to help build next-generation agentic AI capabilities and automated workflows for data and engineering operations. The role focuses on developing Python-based services and agents, designing AI workflow patterns, contributing to backend systems and integrations, and collaborating on testing, documentation, and Agile delivery.

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 work arrangement