Job Title:
Principal Engineer – AI-Native Product Platform
Company: KAVIA AI
Location: Navi mumbai, Maharashtra
Created: 2026-01-01
Job Type: Full Time
Job Description:
Company: KAVIA AILocation: India (Remote or Hybrid; collaboration with global teams)Type: Full-timeAbout KAVIA AIKAVIA AI is an enterprise software company with a live, production AI platform in use today.We build an AI-native workflow and reasoning layer for the full software development lifecycle — spanning requirements, architecture, code, testing, CI/CD, and long-term maintenance. Our platform is used by enterprise teams working on real, large-scale codebases, not demos or internal experiments.AI at KAVIA is foundational. The platform is built around agent-based orchestration, enterprise knowledge graphs, and full lifecycle traceability, enabling teams to understand, evolve, and ship complex software systems with speed and confidence.As the platform and customer footprint scale, we’re hiring a Principal Engineer to work directly with the founders and help shape the next phase of KAVIA’s technical and organizational evolution.The RoleThis is a senior, hands-on technical leadership role on an existing, production platform.As a Principal Engineer, you will work closely with the founders as a core technical partner. You will help drive architectural decisions, evolve systems already in customer use, and define and enforce engineering standards and architectural principles as the company scales.This role complements an existing engineering team and production platform already supporting enterprise customers. You will operate with first-generation ownership and influence across the platform. This role is ideal for an experienced engineer who wants deep technical scope, real authority, and responsibility for systems that enterprise customers depend on — while collaborating closely with a globally distributed leadership and engineering team.What You’ll DoEvolve the Core PlatformDesign and implement key systems across:LLM-powered agents and orchestration workflowsKnowledge-graph-driven representations of code, products, and workflowsCode generation, analysis, testing, and CI/CD automationExtend and harden systems already in production, balancing delivery speed with long-term durabilityTechnical Leadership & OwnershipPartner directly with the founders on architecture and execution strategyOwn major technical domains end-to-endDefine and enforce engineering standards, architectural principles, and quality bars as the team growsHands-On EngineeringWrite, review, and refactor production code regularlyDebug complex issues across AI workflows, backend services, and integrationsImprove performance, observability, reliability, and developer experienceProduction OperationsOperate and support production systems used by enterprise customersParticipate in incident response, root cause analysis, and post-incident improvementsDesign systems that anticipate failure modes and scale safelySecurity & Enterprise ReadinessDesign systems with strong security boundaries, tenant isolation, and auditabilityEnsure architecture supports enterprise trust, compliance, and procurement expectationsTeam & Engineering CultureMentor senior and mid-level engineersLead by example in technical judgment, decision-making, and system designHelp establish development workflows appropriate for a growing enterprise SaaS companyProduct & Customer ImpactWork directly with enterprise customers and real-world codebasesTranslate ambiguous requirements into concrete, scalable solutionsInfluence product direction through technical insight and customer feedbackWhat We’re Looking ForRequired8+ years of professional software engineering experienceExperience as a principal-level engineer or technical lead on complex systemsStrong backend engineering skills (Python; FastAPI a plus)Experience with various frontend technologies - React, Next.JS, etcProven ability to design, evolve, and own production systemsExperience designing and operating secure, cloud-hosted, multi-tenant or single-tenant SaaS platforms (AWS or equivalent)Experience designing and operating graph-based or highly relational data models at scaleExperience designing systems with strong security boundaries, tenant isolation, and auditability suitable for enterprise environmentsExperience operating and supporting production systems, including incident response and post-incident improvementAbility to reason across frontend and backend boundaries Comfort operating in fast-moving environments with real customersStrong PlusExperience building AI-powered systems that integrate with both open and closed-source LLMsExperience designing systems resilient to model evolution and vendor changeExperience with developer platforms, code analysis, or CI/CD pipelinesFamiliarity with SaaS compliance requirements (e.g., SOC 2), cloud marketplace listings, or enterprise procurement expectationsPrior experience scaling a product already in customer useWhy This Role Is InterestingDirect collaboration with the foundersPrincipal-level scope on a real, production AI platformDeep technical problems at the intersection of AI and enterprise softwareOpportunity to shape architecture, standards, and engineering cultureWho This Role Is a Good Fit ForThis role tends to resonate with engineers who:Enjoy owning systems end-to-endCare about durability, correctness, security, and long-term designPrefer shipping real software over chasing AI hypeWant influence and responsibilityInfluence how millions of developers build software in the future