4 Backend Engineers needed in SF, CA (on-site, visa sponsorship available). Must work 5 days/wk. Key skills: Python, cloud platforms (AWS/GCP), AI/LLMs. Experience in VC-backed startups or Big Tech/FAANG preferred. Responsibilities: design core code generation framework, evaluate agent performance, enhance code accuracy. Salary: $140K-$220K.

Nova Intelligence's advanced AI agents transform legacy SAP custom code into Clean Core code
              optimized for S/4HANA. We are combining decades of SAP implementation expertise with top AI talent.
              
          Founded by top AI researchers, and co-inventor of SAP HANA. Learn more at https://www.no

Nova Intelligence

We are seeking 4 skilled Backend Engineers to join our team. The ideal candidate
will possess strong experience in Python, have knowledge of cloud platforms like
AWS or GCP, and experience working with LLMs. You will be working on a
cutting-edge code generation system that leverages LLMs in writing high-quality
code for SAP.



Responsibilities

 * Design and develop the core code generation framework

 * Build systematic evaluation frameworks to measure and improve agent
   performance across different scenarios

 * Implement robust parsing and validation systems

 * Work with LLMs to improve code generation accuracy and quality

Emma Qian

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Backend Engineer

We are seeking 4 skilled Backend Engineers to join our team. The ideal candidate will possess strong experience in Python, have knowledge of cloud platforms like AWS or GCP, and experience working with LLMs. You will be working on a cutting-edge code generation system that leverages LLMs in writing high-quality code for SAP.Responsibilities<ul><li>Design and develop the core code generation framework</li><li>Build systematic evaluation frameworks to measure and improve agent performance across different scenarios</li><li>Implement robust parsing and validation systems</li><li>Work with LLMs to improve code generation accuracy and quality</li></ul>

Some signal of excellence (at least one of these) in candidates: <ul><li>top CS school</li><li>great company/reputable VC-backed startup</li><li>great side projects/active GitHub/portfolio</li></ul>

Great side projects, won some competition/competitive programming, worked at great companies - required for new grad/very junior candidates

CS or technically adjacent undergrad degree at a good school is a great signal

Open to more junior profiles if they have a sign of excellence (great side projects, won some competition/competitive programming, worked at great companies)

Experience with AI and Large Language Models (LLMs)

Experience with cloud platforms like AWS and GCP

Experience working in notable VC-backed startups, scaling systems and infrastructure as the company grows OR Big Tech/FAANG

Interested in and excited about AI

At Nova Intelligence, we are revolutionizing SAP modernization with advanced AI agents that transform legacy SAP custom code into Clean Core code optimized for S/4HANA. Founded by top AI researchers, successful repeat entrepreneurs, and the co-inventor of SAP HANA, our mission is to help enterprises get to a Clean Core in months, not years. Our solution is 3X faster than existing approaches, providing exceptional value to our enterprise customers.About The RoleWe are seeking a skilled Backend Engineer to join our team. The ideal candidate will possess strong experience in Python, have knowledge of cloud platforms like AWS or GCP, and experience working with LLMs. You will be working on a cutting-edge code generation system that leverages LLMs in writing high-quality code for SAP.Responsibilities<ul><li>Design and develop the core code generation framework</li><li>Build systematic evaluation frameworks to measure and improve agent performance across different scenarios</li><li>Implement robust parsing and validation systems</li><li>Work with LLMs to improve code generation accuracy and quality</li></ul>Qualifications<ul><li>Bachelor's degree in Computer Science or a related field</li><li>Minimum of 3-5 years of experience in backend development</li><li>Strong proficiency in Python</li><li>Experience with AI and Large Language Models (LLMs)</li><li>Based in or willing to relocate to San Francisco, California</li></ul>Preferred Qualifications<ul><li>Familiarity with programming language tooling</li><li>Experience working in a startup, scaling systems and infrastructure as the company grows</li><li>Experience with cloud platforms like AWS and GCP</li></ul>Benefits and Perks<ul><li>An open and inclusive culture and work environment</li><li>Work closely with a collaborative, mission-driven team on cutting-edge AI technology</li><li>Full health, dental, and vision benefits</li></ul>Even if there are a few checkboxes that aren't ticked through your prior experience, we still encourage you to apply! If you are a 0-1 achiever, a ferocious learner, and a kind and fun team player who motivates others, you will find a home at Nova Intelligence.

Here's a summary of key insights for evaluating Backend Engineer applicants:

**Experience & Signals of Excellence:**

* **Years of Experience:** Aim for 3-5 years of backend development experience. Junior candidates (<3 YoE) *must* demonstrate exceptional potential.
* **"Signal of Excellence" (at least two required):**
 * **Education:** Top CS schools are a strong indicator.
 * **Work History:** Experience at reputable VC-backed startups or Big Tech/FAANG companies is highly valued.
 * **Projects/Portfolio:** Active GitHub profiles and impressive side projects are crucial, especially for junior candidates.

**Technical Skills:**

* **Must-Have:** Strong Python proficiency.
* **Nice-to-Have:** Familiarity with cloud platforms (AWS, GCP) and AI/LLMs.
* **Interest:** A genuine interest in AI is mandatory.

**Key Success/Failure Factors:**

* **Success:** Candidates with a strong combination of academic pedigree, experience at well-regarded companies, and demonstrable passion through side projects or open-source contributions tend to succeed. Solving technically challenging problems with detailed explanations is critical.
* **Failure:** Lack of any "signal of excellence" (school, company, projects) is a common reason for rejection. Vague or superficial answers to technical challenges also lead to disqualification. Insufficient backend experience without strong compensating factors is also a negative.

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