Entry Level Software Engineer - Agentic AI

Job Description

We are looking for a motivated, curious, and technically strong software engineer to join our team. You will work closely with other engineers to design, build, and test next-generation agentic AI capabilities and automated workflows that support data and engineering operations at scale.

What You'll Do

As a Software Engineer, you will:

• Develop Python-based services, agents, and tooling to support AI workflows and automation.
• Help design and prototype agentic AI patterns, including reasoning agents, workflow planners, retrieval pipelines, and evaluation harnesses.
• Contribute to backend engineering tasks such as API development, orchestration logic, and system integration.
• Build, configure, and test AI workflows running on modern platforms like Kubernetes, vector databases such as Milvus, and 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, including standups, sprint planning, and demos, and contribute to a fast-paced engineering culture.

Who You Are

• 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.

What You'll Gain

• 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.

Qualifications

• 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.

You do not need all of these, but experience with any is a plus:

• 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.