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Lead AI Engineer, Agentic AI for Finance

Everpure · Posted Oct 29

Enterprise data storage and management platform for apps, analytics, and AI

Bangalore, IndiaFull-timeOnsiteLead/Staff8–12 years₹50.0L–₹80.0L yearly<25 applicants
Data StorageEnterprise Data CloudAI InfrastructureFlash StoragePublic Company
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About the role

Everpure is a data platform company with a strategic agenda spanning hyperscalers, AI labs, the AI hardware supply chain, and data platform providers. Its AI Factory team supports the Office of the CFO in transforming Global Finance into an insight-driven strategic partner. This founding technical lead role builds production-grade autonomous agent systems and enterprise platform components that automate financial workflows at scale, working with finance leaders and engineering partners.

What you will do

  • Architect and ship resilient, auditable multi-agent workflows using LangGraph and Amazon Bedrock AgentCore, translating core financial logic into deterministic, review-ready production systems.
  • Design and implement secure, least-privilege Model Context Protocol (MCP) servers and Snowflake retrieval pipelines to enable safe data access across enterprise systems.
  • Partner with product and engineering teams to build intuitive user review portals, administration consoles, and human-in-the-loop governance workflows that guarantee data safety and SOX compliance.
  • Drive operational excellence across the AI lifecycle by establishing automated evaluation suites, shadow-mode release gates, and real-time observability for latency, drift, and cost.
  • Provide hands-on technical guidance across the codebase through rigorous pull request reviews, architectural blueprints, and collaborative mentorship for internal and partner engineering teams.

Skills used in this role

What the employer is looking for

  • Demonstrated track record of designing, building, and operating production-grade agentic AI or LLM systems and distributed architectures, with a focus on cost, latency, and reliability trade-offs.
  • Expertise in secure backend and AI engineering, including Python, TypeScript, SQL, API development (FastAPI/GraphQL), and modern cloud infrastructure (AWS, Docker, CI/CD).
  • Experience architecting controls for regulated or enterprise environments, including role-based access controls, comprehensive audit logging, human-in-the-loop gates, and AI security standards (prompt defense, PII masking).
  • Strong cross-functional collaboration and communication skills, with proven ability to translate complex technical architectures into clear business context for non-technical stakeholders.
  • We are primarily an in-office environment and therefore, you will be expected to work from the Bangalore office in compliance with Everpure's policies, unless you are on PTO, or work travel, or other approved leave.

Benefits and support

  • flexible time off
  • wellness resources
  • company-sponsored team events

About Everpure

Everpure is an enterprise data storage and management company that unifies all data with an enterprise data cloud, making it easy to manage and get AI-ready fast. Formerly known as Pure Storage, the company delivers an industry-leading, ever-evolving storage and data management platform.

Industry
Data Storage
Company size
6000+ employees
Founded
2009
Location
Santa Clara, California, USA
Funding stage
Public Company

Funding

Public Company · $470M raised

Sutter Hill VenturesGreylock PartnersRedpoint Ventures
  • 2013-08-29Series E$150M
  • 2014-04-23Series F$225M

Leadership

CG
Charles Giancarlo

Chairman and CEO

RL

Rob Lee

Chief Technology Officer

DF

Dan FitzSimons

Chief Revenue Officer

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