# Staff Software Engineer - Rippling AI

**Company:** [Rippling](https://hotfix.jobs/companies/rippling)
**Location:** Bengaluru, India
**Role:** AI Research
**Experience:** 10+ years
**Skills:** Python, Java, Go, C++, Scala, Kotlin, C#, SQL, Distributed Systems, System Design, AI Agents, Llm Infrastructure, Workflow Orchestration, Data Pipelines, Observability
**Posted:** 2026-06-17

> Hands-on technical leader building reusable AI Platform infrastructure for agents, automation, evaluations, data pipelines, and reliable production systems. The role requires 10–15 years of software engineering experience, strong distributed-systems and architecture skills, and continued involvement in coding and technical execution.

## Job Description

## Responsibilities
- Own major AI Platform initiatives across backend, platform, infrastructure, and AI-enabled systems.
- Lead design and execution for systems supporting agents, evaluations, automation, data pipelines, model quality, sandboxing, scaling, latency, and reliability.
- Act as a technical lead for cross-functional work involving Product, Infrastructure, Platform, AI, and Engineering teams.
- Break down ambiguous technical problems into clear architecture and execution plans.
- Write code, review critical code paths, debug production issues, and make implementation-level decisions.
- Build reusable platform systems for multiple product teams.
- Raise the engineering bar through design reviews, code reviews, mentoring, and technical guidance.
- Balance speed, quality, reliability, and long-term platform maintainability.

## Requirements
- 10–15 years of software engineering experience, preferably in backend, platform, infrastructure, distributed systems, AI platform, or product engineering.
- Strong hands-on coding ability and willingness to remain close to code, debugging, design reviews, and implementation details.
- Strong programming knowledge in one or more languages such as Python, Java, Go, C++, Scala, Kotlin, or C#.
- Proven experience building and operating large-scale distributed systems in production.
- Experience in high-growth or hyper-growth startup or product environments is strongly preferred.
- Strong system design and architecture fundamentals across APIs, databases, data modeling, concurrency, reliability, observability, and production operations.
- Ability to lead ambiguous, cross-functional technical initiatives without formal authority.
- Strong product intuition and ability to connect technical decisions to customer and business impact.
- Ability to mentor engineers and raise the technical bar while continuing to code.
- Practical exposure or strong curiosity around AI agents, LLM infrastructure, agentic workflows, ML/data infrastructure, inference pipelines, evaluations, fine-tuning, post-training, or automation systems.

## Nice-to-haves
- Recent hands-on experience building AI agents, LLM tooling, AI infrastructure, automation platforms, evaluation systems, or model-quality systems.
- Experience with workflow orchestration, background automation, self-healing systems, reliability platforms, or internal developer platforms.
- Experience with permissions, approvals, auditability, compliance, security-sensitive workflows, or enterprise-grade controls.
- Strong Python and SQL knowledge.
- Experience with Go, Java, C++, or Scala in platform, infrastructure, distributed systems, or large-scale backend environments.
- Experience in AI-native, cloud/infrastructure, platform-heavy, enterprise SaaS, fintech, HR technology, payroll, benefits, compliance, IT, or workflow-heavy companies.

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