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Dev AI Senior Architect

Chargebee · Posted Sep 28

Subscription management, recurring billing, and revenue growth infrastructure services

Chennai, Tamil Nadu, IndiaFull-timeHybridLead/Staff7+ years₹60.0L–₹1.0Cr yearly100+ applicants
SaaSBillingPaymentsSubscription ManagementFinTechRecurring BillingLate Stage
Full time

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About the role

The AI Center of Excellence at Chargebee is a multidisciplinary group of engineers and architects dedicated to scaling artificial intelligence across the company's product ecosystem, building robust, production-grade AI systems for B2B SaaS subscription and billing workflows. The team works on LLM applications, agentic workflows, RAG pipelines, and AI observability to enhance user experiences and streamline complex subscription processes. This role leads the end-to-end architecture of large-scale AI systems, drives the AI roadmap, and mentors engineers while collaborating with product and business stakeholders.

What you will do

  • Architect and deploy production-grade LLM applications and agentic workflows that integrate seamlessly with enterprise SaaS platforms.
  • Design and optimize Retrieval-Augmented Generation (RAG) pipelines to improve the accuracy and contextual relevance of AI outputs.
  • Develop reusable AI engineering frameworks and assets to accelerate the adoption of generative AI across various engineering teams.
  • Implement rigorous AI observability and monitoring systems to track model performance, latency, and drift in real-time.
  • Lead the integration of complex APIs and data sources to power intelligent automation and decision-making tools.
  • Ensure all AI implementations adhere to strict security, privacy, and compliance standards, particularly regarding data handling and prompt injections.
  • Collaborate with product and business leaders to define the long-term AI roadmap and identify high-value opportunities for automation.
  • Provide technical mentorship and set the standard for code quality, documentation, and architectural best practices within the AI domain.

Skills used in this role

PythonFastAPILangChainLLMsRAGAgentic WorkflowsDockerKubernetesGCPAzureVector DatabasesPrompt EngineeringFine-TuningAI ObservabilityDistributed SystemsData EngineeringAPI Integration

What the employer is looking for

  • 7+ years of experience in software engineering with a focus on building and scaling complex distributed systems.
  • 4+ years of experience specifically in AI/ML engineering, including hands-on development with Large Language Models (LLMs).
  • Expert-level proficiency in Python and modern web frameworks such as FastAPI for building high-performance APIs.
  • Proven experience building and maintaining RAG pipelines and utilizing orchestration frameworks like LangChain or equivalent tools.
  • Deep understanding of cloud infrastructure on platforms such as GCP, leading SaaS companies, or Azure, including containerization with Docker and Kubernetes.
  • Strong background in data engineering, including experience with vector databases and managing large-scale datasets for AI training or inference.
  • Experience implementing AI-specific security measures and ensuring compliance within highly regulated software environments.
  • Bachelor's degree in Computer Science, Engineering, or a related technical field.

Preferred qualifications

  • Experience with advanced prompt engineering techniques and automated evaluation frameworks for LLM outputs.
  • Familiarity with fine-tuning open-source models for specific domain tasks in a B2B environment.
  • Contributions to open-source AI projects or a history of technical leadership in AI-focused communities.
  • Advanced knowledge of AI-native observability tools for debugging complex agentic interactions.

Benefits and support

  • Compensation and benefits are detailed in the job posting

About Chargebee

Chargebee is a subscription management and recurring billing platform that automates revenue operations, invoicing, payments, and compliance for high-growth businesses. Its platform helps enterprises manage complex subscription lifecycles, usage-based pricing, and global tax configurations. Trusted by thousands of global innovators, Chargebee streamlines financial workflows from early-stage operations to multi-year enterprise contracts.

Industry
SaaS
Company size
1000-5000 employees
Founded
2011
Location
San Francisco, California, USA
Funding stage
Series H

Funding

Series H · $475M raised

Tiger Global ManagementInsight PartnersAccelSequoia CapitalSteadview CapitalFelicis Ventures
  • 2024-03-08Series H$5M
  • 2022-02-01Series H$250M
  • 2021-04-01Series G$125M
  • 2020-10-01Series F$55M
  • 2019-08-01Series D$14M
  • 2018-03-01Series C$18M

Leadership

KS
Krish Subramanian

CEO & Co-Founder

RS
Rajaraman Santhanam

CPO & Co-Founder

SK
Saravanan KP

CTO & Co-Founder

MB
Mike Beach

Chief Financial Officer