Senior SAP Engineer

Nova Ltd.
New York, NY, United States
2 months ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$100,000.0 - $225,000.0
Working hours
Regular working hours
Job source

Tech stack

Advanced Business Application Programming (ABAP) Artificial Intelligence Software Debugging Python (Programming Language) SAP (Applications) SAP Materials Management SAP Project System Time Tracking Software TypeScript Enterprise Software Applications SAPBasis SAP S/4HANA
+2 more
Free and Open-Source Software Golang

Job description

We’re hiring SAP engineers to build the platform that powers Nova. You’ll work across the foundational SAP infrastructure the agent runs on, the agent layer itself, and Nova’s own ABAP code that runs inside customer SAP environments. Expect to spend time writing and debugging Nova’s code in production SAP systems, untangling gnarly transport and installation issues at customers, and improving agent skills and prompts based on what you see. Think platform engineering, focused through the lens of SAP. This is a deeply technical role: it requires real SAP expertise, strong engineering instincts, and informed opinions about how to make AI agents reliable on enterprise systems., Most people in this role focus primarily on platform engineering. Some split time with direct customer engagement. We welcome candidates interested in either path (see “Customer Facing Engineer” role for more information).

Requirements

Do you have experience in TypeScript?, * You bring deep SAP technical expertise: ABAP, S/4HANA internals, transport systems, BAdIs, enhancements - the actual mechanics of how SAP systems work. Familiarity with BTP, RAP, CAP, or Integration Suite is a strong plus.

  • You’re a polyglot engineer. You’ve shipped meaningful code in Python, TypeScript, Go, or similar, and you reach for the right tool for each problem.
  • You have informed opinions on agent design and frontier models - what they do well today and what they’ll do well in six months.
  • You have open-source contributions in or adjacent to the SAP ecosystem. (Strong plus, not required.), * 5+ years in deep SAP technical work
  • Production experience with S/4HANA, Clean Core, or large-scale ABAP modernization
  • Time at an early-stage startup, infrastructure company, or developer-tools company

Benefits & conditions

Pulled from the full job description

  • Health insurance
  • Vision insurance
  • Dental insurance, We’re a small, highly talent-dense team building the infrastructure to make AI fluent in SAP. We offer competitive compensation, meaningful equity, and full health, dental, and vision coverage.

If you read this and recognize the role you want, apply - even if you don’t match every line.

Compensation Range: $100K - $225K

About the company

Nova Intelligence is building the most powerful AI platform for SAP teams. SAP is the heart of the enterprise: almost every critical business process at the world’s largest companies - finance, supply chain, manufacturing, sales - runs on SAP. Our customers use Nova to 3x the productivity of their SAP teams: modernizing legacy code, redesigning business processes, resolving production issues, and more.

Nova Intelligence was founded by AI researchers, repeat entrepreneurs, and the co-inventor of SAP HANA, and has raised $40M from SAP.io, Accel, Conviction, and Chemistry., Build the foundational infrastructure. You’ll work on the systems and primitives the agent uses every day - off-stack code editing via abapGit, search across customer systems, identity and authorization, sandboxes, GUI automation and the integrations that connect Nova to a customer’s landscape.

Improve the agent’s SAP knowledge. You’ll write skills, refine prompts, and tune how the agent reasons about SAP systems. The goal: make Nova perform like a senior SAP developer with deep context across modernization, debugging, business process redesign, and code review.

Build the evaluation loop. You’ll create repeatable test cases and benchmarks that catch regressions and let us measure improvement systematically. Every meaningful customer scenario should become a reproducible eval.

Debug across the full stack. When something breaks, you’ll reproduce the problem, isolate the cause (skill, prompt, ABAP code, infrastructure, or model), fix it and prevent the issue from occurring again., You’ll use Nova every day, becoming one of the most fluent users of frontier AI tooling for SAP. It’s a rare vantage point: years ahead of the rest of the industry on AI for enterprise software, while shipping real value to customers.

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