About the Role
We’re looking for a highly motivated and curious AI Engineer to help build intelligent, production grade AI systems at the intersection of automation, large language models (LLMs), and autonomous engineering workflows.
You’ll work directly with experienced engineers and product leaders to design, prototype, and deploy real world AI solutions that solve meaningful problems. This is a hands on role where you won’t just observe you’ll contribute to products used in real environments.
If you’re excited about AI, startups, and building systems that have real impact, we’d love to hear from you.
What You’ll Do
- Assist in building, testing, and deploying machine learning models and AI powered features
- Work on LLM integrations, including prompt engineering, embeddings, retrieval workflows, and fine tuning concepts
- Clean, process, and analyze datasets for training and evaluation
- Build APIs, automation scripts, and backend services that support AI systems
- Run experiments, benchmark models, and evaluate performance
- Collaborate closely with engineering and product teams to ship production ready features
- Contribute to AI systems focused on predictive analysis, autonomous workflows, and software reliability
- Help improve AI driven systems that predict and prevent software issues before they occur
What We’re Looking For
- Currently completed a Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field
- Strong foundation in computer science and software development principles
- Proficiency in Python and familiarity with modern AI/ML development workflows
- Understanding of machine learning concepts such as regression, classification, neural networks, and pattern recognition
- Exposure to AI/ML frameworks such as PyTorch, TensorFlow, or Scikit learn
- Familiarity with Natural Language Processing (NLP) concepts and real world AI applications
Nice to Have (Not Required)
- Experience working with LLMs, prompt engineering, vector databases, or AI APIs
- Familiarity with tools such as Git, Docker, Kubernetes, or cloud platforms (AWS, GCP, Azure)
- Personal, academic, or open source AI/ML projects (GitHub portfolio is a plus)
- Interest in startups, automation, autonomous systems, or AI product development
- Prior experience working on large scale AI systems or production AI applications
What You’ll Gain
- Hands on experience building AI systems used in real production environments
- Mentorship from experienced engineers, technical leaders, and founders
- Exposure to cutting edge AI tooling, infrastructure, and autonomous engineering workflows
- Opportunity to work on next generation AI systems focused on autonomous reliability and software intelligence
- Experience shipping meaningful products in a fast moving startup environment
- A chance to directly influence the future of AI driven engineering and automation systems
