Staff GTM AI Engineer

Procore Technologies Construction Private Limited; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Procore Technologies Construction Private Limited is seeking a Staff Engineer for GTM AI in Bengaluru. You will own architectural strategy for our seller agentic platform, shaping how data and AI services scale across the revenue lifecycle.

This is a high-impact, hands-on leadership role blending architecture with practical coding and delivery. You will drive platform evolution, real-time pipelines, and auditable AI outputs while mentoring teams to ship faster and more safely.

Qualifications

• 7–10+ years in software engineering with large-scale distributed systems.
• Expert-level Python and AWS; production-grade infra experience.
• Experience building agentic platforms and data pipelines.
• Deep understanding of LLMs, RAG, and vector DBs.
• Proficiency with Kubernetes, microservices, and event-driven architectures.

Responsibilities

• Own the architecture for the Seller Agentic platform across functions.
• Design next-gen data/AI infra with real-time pipelines.
• Define roadmaps to scale from experiments to production-grade systems.
• Lead hands-on development and set engineering standards.

Skills

Python

AWS

Agentic platforms

LLMs

Kubernetes

Microservices

Event-driven architecture

Leadership

Communication

Security mindset

Tools

LangGraph

Claude

Vertex AI

Workato

Job description

We are looking for a Staff Engineer, GTM AI to join the Procore India team. In the role you will lead the technical strategy and implementation for our Go-to-Market (GTM) AI systems. This is a high-visibility, "Staff+" role where you will not just contribute code- you will define the architectural foundation for our internal agentic solution. You will lead the transition from rapid experimentation to a scalable, production-grade agentic engine that empowers our sellers. If you are a systems-thinker who thrives on scaling complex, event-driven AI platforms and you want to define "how things are built" at an enterprise scale, this is your role.

Responsibilities

• Architectural Ownership System Authority: Serve as the technical lead for our Seller Agentic platform. You own the architecture across business functions and are responsible for its long-term health and scalability.
• Platform Evolution: Design and build the next-gen data/AI infrastructure. This includes robust integration layers, real-time intelligence pipelines, and service architectures that handle high-volume data without degradation.
• Risk Mitigation: Anticipate scaling bottlenecks. You will define the roadmap for iterative modernization to ensure the platform is future-proofed before performance issues surface.

Technical Execution & Mentorship

• Hands-on Leadership: While you are a strategic leader, you are also a practitioner. You will contribute to writing and shipping the code.
• Engineering Excellence: Set the standards for the team. You will ensure that rapid prototyping is built on sound, sustainable foundations, teaching others how to manage complexity as the platform scales.
• The "Golden Record" Strategy: Lead the data strategy to establish a single, trusted system of record for account intelligence, ensuring consistency across the revenue lifecycle.

Engineering Outcomes

• You’ll Own Scalable Architecture: Build a foundation that supports moving from one use case to dozens without regressions or downtime.
• Systemic Trust: Ensure AI outputs are auditable, accurate, and consistent. You will turn "Trust" into a provable engineering metric, not a marketing claim.
• Multiplier Effect: Your abstractions and API boundaries should enable junior engineers to ship faster and safer. You are here to amplify the team's output.

Requirements

• Experience: 7-10+ years in software engineering, with a proven track record of owning large-scale, distributed system architectures.
• Languages & Infra: Expert-level fluency in Python and modern cloud environments (AWS).
• Agentic Platforms: Demonstrated experience building on Agentic frameworks (e.g., LangGraph, Claude, Vertex AI, Workato).
• AI/ML Ops: Deep understanding of LLMs, RAG, vector databases, memory systems, and prompt engineering at scale.
• Architecture: Mastery of Kubernetes, microservices, and high-throughput event-driven architectures.
• Leadership & Soft Skills Security Mindset: Proven ability to build enterprise-grade products with strict compliance, data privacy, and security-first principles.
• Communication: A track record of translating complex technical trade-offs into business-aligned roadmaps for executive leadership.
• Mentorship: Experience guiding engineering teams through hyper-growth or rapid scaling phases.
• Nice to Have: Experience with Revenue Tech / CRM (Salesforce,GONG, Outreach etc.) data structures.
• Exposure to AI Evaluation frameworks: automated testing/QA for LLM outputs.
• Experience working in a global-local model, driving alignment between distributed engineering teams.