17 hours ago
Pune, IndiaStaff+
Responsibilities
- Lead end-to-end architecture and implementation of complex distributed, cloud-native classification services.
- Build agentic AI workflows using LLM reasoning, retrieval-augmented generation, human escalation, confidence signals, and audit trails.
- Develop MCP server capabilities that expose classification APIs to AI agents and partner platforms.
- Build backend services and APIs with Java/Spring Boot and Python/FastAPI, plus frontend components and internal tooling where needed.
- Design asynchronous message-processing and batch pipelines capable of handling classification volumes from dozens to millions of items per customer.
- Deploy and operate services on Kubernetes and AWS EKS, including Helm configurations, resource policies, availability, and latency objectives.
- Implement observability, incident response, root-cause analysis, durable fixes, and post-incident documentation.
- Embed security, secrets management, least-privilege IAM, and responsible AI practices across services.
- Conduct code and design reviews, mentor junior engineers, lead refactoring, and improve engineering standards.
- Drive AI-assisted engineering practices and identify new agentic use cases with engineering and product leadership.
Requirements
- Bachelor's degree in Computer Science.
- At least 10 years of professional software engineering experience with senior-level technical ownership and impact.
- Strong hands-on experience designing distributed backend systems, APIs, microservices, asynchronous messaging, and event-driven architectures.
- Proficiency in Java with Spring Boot or Python with FastAPI/asyncio, with the ability to contribute across both ecosystems.
- Experience integrating LLMs or ML models into production systems, including prompt design, output validation, latency management, and model observability.
- Experience deploying and operating containerized services on cloud infrastructure, preferably AWS, using Docker and Kubernetes.
- Strong knowledge of SOLID, clean architecture, domain-driven design, scalability, and resilience principles.
- Experience building automated unit, integration, and end-to-end testing strategies.
- Demonstrated ability to learn unfamiliar languages, frameworks, and tooling as required.
- Required hands-on AI usage that produced measurable improvements in engineering or product outcomes.
- Strong written and spoken English communication skills for collaboration with distributed teams.
- Experience using AI-assisted coding tools such as GitHub Copilot or Cursor and applying LLMs to documentation, specifications, runbooks, and code reviews.
- Ability to design, govern, and secure agentic AI systems, including prompt-injection prevention, output-variability management, drift monitoring, explainability, and human escalation.
Benefits
- Compensation package, paid time off, paid parental leave, and potential bonuses.
- Location-dependent private medical, life, and disability insurance.
- Inclusive culture with employee-run resource groups and senior leadership sponsorship.
Tech Stack
Categories
About Avalara
Avalara builds cloud software that automates tax calculation, returns filing, exemption certificate management, and cross-border compliance for businesses, with deep integrations into e-commerce and ERP platforms. Founded in 2004 and headquartered in Durham, North Carolina, it is privately held and owned by Vista Equity Partners. The company sells SaaS subscriptions and managed filing services to help organizations comply with U.S. sales tax and international VAT/GST requirements.