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Risa Labs

AI Engineer

  • Seen live on Risa Labs' site 2 days ago
  • Mid level
Pay
Not stated
Location
Palo Alto, California, USA
Open for
12+ days
First seen
Oct 23, 2026
Apply on Risa Labs' site (opens in a new tab)

Posting record

No flags

Open 12+ days

The posting's record, oldest first
  1. Risa Labs' site dates the posting
  2. Ghostless first sees this listing
  3. Last checked: still up
How we know

It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.

Ghostless records the day it first sees a posting, so a repost can't reset its age. This one was already up when Ghostless started tracking Risa Labs, so its true age is longer.

Last checked Nov 2, 2026.

How well do you match?

See how much of this posting your resume shows, and what it's missing.

Upload your resume

What it asks of you

2–5 years of experience
“2 to 5 years of work experience” (quoted from the posting)

What the posting discloses

Not stated: Pay, real vacancy, AI screening.

Why these three

Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.

Some employers add pay only on their own site. Check the original posting before you rule it out.

Skills mentioned

About the role

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

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