Build and deploy AI agents for internal tools and customer-facing use cases
Experiment with frontier and open-source models (e.g., Claude, GPT-based models, and emerging frameworks)
Rapidly prototype ideas, test performance, and iterate based on results
Integrate AI models with APIs, workflows, and business systems
Research and apply new AI tools, libraries, and agent frameworks as they emerge
Collaborate with teams to identify opportunities where AI can improve efficiency or automation

Bachelor’s degree in Computer Science, Engineering, or related field (completed or in progress)
Strong programming skills, preferably in Python
Experience working with APIs and basic backend integration
Demonstrated curiosity in AI/ML through personal projects, experiments, or coursework
High ownership mindset — able to take vague problems and build solutions independently
Comfortable working in fast-changing environments with minimal structure
Strong problem-solving and experimentation mindset
Nice to Have Experience building personal AI projects, bots, or automation tools
Familiarity with LLM APIs, prompt engineering, or agent frameworks
Exposure to cloud platforms or deployment tools
GitHub portfolio or live projects

AI Systems Engineer – Entry Level

Key skills