Job description

About RISA Labs At RISA, we are building the future of mission critical workflows by leveraging the latest in AI. Our purpose is to solve humanity’s hardest hurdles, starting with the incredibly high stakes challenges within oncology. We are not just selling software, we are delivering resilient, autonomous infrastructure that powers foundational institutions and ultimately helps accelerate human progress. Founders RISA was founded by Kshitij Jaggi and Kumar Shivang, IIT Kanpur alumni with a proven track record from their previous healthcare startup, Urban Health. Their vision is to streamline oncology care through cutting edge technology. Funding RISA Labs is a Series A startup backed by Optum Ventures, Cencora Ventures, Oncology Ventures, General Catalyst, Binny Bansal, z21 Ventures, John Simons and select angels. The Opportunity You’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

Requirements

Must-haves

Funding RISA Labs is a Series A startup backed by Optum Ventures, Cencora Ventures, Oncology Ventures, General Catalyst, Binny Bansal, z21 Ventures, John Simons and select angels.
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
Eagerness to learn, collaborate, and innovate in a fast-paced startup environment

Nice-to-haves

Experience with projects/internships involving backend systems, scalable applications, or research-oriented software development is a plus

Application prep

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Keywords to mirror

aipythonci/cdmachine learningllmml

Platform: greenhouse
Effort: quick

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