ARP evaluates whether internal platforms are 'agentic-ready' for end-to-end AI agent development. This role sits on the Core Platform Framework team, which builds the evaluation platform and seeks research-minded engineers focused on agent orchestration and LLM tooling, distinct from the Operations/Adoption team.

Model orchestration and cost efficiency: implement energetic, step-level orchestration, replacing single static models, that routes tasks to cost-effective models (open-source and Claude), tracking cost and performance per step.

Cross-team collaboration: partner with capability, operations and adjacent platform teams on friction reporting, PRD-to-action pipelines, RAG-backed architecture context and OPA policy validation.

Roadmap leadership: help deliver the roadmap from foundational tooling (plugins, RBAC, alerting) to automation (auto-fix agents, continuous re-runs) and governance visibility.

7+ years of software engineering experience, focused on distributed systems or developer platforms.

- Hands-on experience building or operating LLM-agent systems: orchestration loops, tool use, plan-and-execute patterns.




- Strong systems programming background (Python, Java) with virtualization, sandboxing or IaC experience.
- Proficiency in Python, Java, Spring Boot, GraphQL and React.
- Applied AI and prompt design skills for reliable, cost-aware LLM behavior.
- Proven ability to lead projects and influence technical direction within and across teams.
- Building or contributing to LLM or agent evaluation and benchmarking frameworks.

Policy-as-code, RAG pipelines or vector databases for enterprise agent grounding.

Experience with internal developer tools (CI/CD, ticketing automation, developer portals).

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location.

📌 Software Development Engineer, Sr (Bengaluru)
🏢 Intuit
📍 Bengaluru