AI Engineer

Risa Labs

$100K — $150K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 2 to 5 years of relevant work experience
  • Bachelor's degree in Computer Science, Engineering, IT, or related field
  • Strong foundation in Machine Learning, Deep Learning, and NLP
  • Hands-on experience with LLM-based systems
  • Proficiency in Python and ML frameworks (e.g., PyTorch, TensorFlow)
  • Knowledge of distributed systems and cloud concepts
  • Problem-solving skills for complex analytical challenges

Responsibilities

  • Design, develop, and deploy scalable software systems in Python
  • Collaborate with product managers and engineers for solution development
  • Participate in system design discussions and build architectures
  • Write clean, maintainable code following coding standards
  • Debug and optimize system performance for technical needs
  • Learn and grow through mentorship and exposure to AI problems

Benefits

  • Mentorship and technical reviews to foster continuous learning
  • Exposure to cutting-edge problems in healthcare and AI
  • Opportunity to work in a fast-moving startup environment
  • Supportive culture of collaboration and innovation
  • Engaging with high-impact systems in oncology
Full Job Description
The OpportunityYou'll be part of the core engineering team building scalable, high-impact systems that power our healthcare AI solutions. We're looking for bright, curious minds in engineering with strong foundations in Python, data structures, algorithms, and system design. This role is ideal for fresh graduates who are eager to solve challenging problems, work on distributed systems and backend technologies, and learn hands-on in a fast-moving startup environment. If you enjoy turning ideas into real, impactful products and thrive in a culture of collaboration and innovation, this is the place to start your journey.

What You'll do
  • Design, Develop, and Deploy scalable software systems with strong emphasis on Python-based applications and backend engineering
  • Collaborate cross-functionally with product managers, researchers, and engineers to translate complex problems into elegant, efficient solutions
  • Contribute to System Design discussions and assist in building reliable,
    high-performance architectures
  • Write clean, testable, and maintainable code following best practices in coding standards, version control, and CI/CD
  • Debug, optimize, and improve system performance, ensuring solutions meet both technical and business requirements
  • Learn and grow continuously through mentorship, technical reviews, and exposure to cutting-edge problems in healthcare and AI systems

What You'll Bring
  • 2 to 5 years of work experience
  • Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field
  • Strong foundation in Machine Learning, Deep Learning, and NLP, with hands-on experience in developing or deploying LLM-based systems
  • Practical exposure to model fine-tuning, prompt engineering, and optimization for performance and scalability
  • Proficiency in Python and common ML frameworks (e.g., PyTorch, TensorFlow)
  • Knowledge of system design fundamentals (distributed systems, APIs, databases, cloud concepts)
  • Strong problem-solving and analytical skills with ability to break down complex problems into structured solutions
  • Experience with projects/internships involving backend systems, scalable applications, or research-oriented software development is a plus
  • Eagerness to learn, collaborate, and innovate in a fast-paced startup environment

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