{"id":3518078,"url":"https://alion.io/job/jazzx-ai-staff-fullstack-engineer","title":"Staff Fullstack Engineer","company":{"id":678514,"name":"JazzX AI","domain":"jazzx.ai","url":"https://alion.io/company/jazzx","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":93,"open_postings":12,"ghost_share":0,"stale_share":0.083,"repost_share":0,"time_to_fill_p50_days":130,"computed_at":"2026-11-03T05:54:40Z"}},"role":"Backend","role_family":"Backend","seniority":"staff","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":34000,"max_usd":84000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":26},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AIOps","optional":false},{"name":"Amazon S3","optional":false},{"name":"Ansible","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Boto3","optional":false},{"name":"C++","optional":false},{"name":"Celery","optional":false},{"name":"Claude","optional":false},{"name":"Claude Code","optional":false},{"name":"Copilot","optional":false},{"name":"Cursor","optional":false},{"name":"Docker","optional":false},{"name":"Embeddings","optional":false},{"name":"FastAPI","optional":false},{"name":"GCP","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Go","optional":false},{"name":"Java","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LlamaIndex","optional":false},{"name":"LLM","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Neo4j","optional":false},{"name":"Node JS","optional":false},{"name":"OpenTelemetry","optional":false},{"name":"pgvector","optional":false},{"name":"Poetry","optional":false},{"name":"PostgreSQL","optional":false},{"name":"pre-commit","optional":false},{"name":"Pydantic","optional":false},{"name":"Pytest","optional":false},{"name":"Python","optional":false},{"name":"React.js","optional":false},{"name":"Redis","optional":false},{"name":"Ruff","optional":false},{"name":"Semantic Search","optional":false},{"name":"SQLAlchemy","optional":false},{"name":"SQLModel","optional":false},{"name":"Storybook","optional":false},{"name":"Terraform","optional":false},{"name":"TypeScript","optional":false},{"name":"Vitest","optional":false},{"name":"Anthropic","optional":true},{"name":"CI/CD","optional":true},{"name":"Git","optional":true},{"name":"JavaScript","optional":true},{"name":"Material UI","optional":true},{"name":"OpenAI","optional":true},{"name":"Prompt Engineering","optional":true},{"name":"Redux","optional":true},{"name":"SQL","optional":true},{"name":"Vite","optional":true},{"name":"WebSockets","optional":true}],"status":"live","first_seen_at":"2026-10-30T08:36:27Z","employer_posted_date":"2026-10-30","last_verified_at":"2026-11-03T18:23:17Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"About JazzX AI: \nVision: Enterprises operating on institutional intelligence-governed, self-improving, and scalable beyond individual expertise.\n\nJazzX AI is defining the future of enterprise work-by building AI-native digital workers that actually get the job done.\nWe believe enterprises don't scale expertise-they lose it. Knowledge stays trapped in individuals, judgment gets applied inconsistently, and the best talent spends time on work that should run itself. We're changing that. \nJazzX AI transforms messy enterprise reality into institutional intelligence: governed digital workers that capture expert judgment, make every decision explainable, and continuously improve through real-world execution. The result is faster decisions, higher-quality outcomes, and reliable execution at scale-in domains where getting it wrong isn't an option.\nWe're starting with lending and due-diligence workflows-complex, regulated, high-stakes. From here, we're building the backbone for enterprise intelligence across industries.\nThis is early-stage, hard, and consequential work. If you want to be part of bringing AI systems to market that actually run in production, handle real complexity, and deliver real outcomes-not demos, not chatbots-JazzX AI is the place.\nAbout SAIGroup : \nSAIGroup a private investment firm that has committed $1B to build and scale next-generation, AI-powered enterprise software companies. SAIGroup’s portfolio serves 2,000+ global enterprise customers, generates nearly $800M in annual revenue, and employs 4,000+ people worldwide - providing JazzX AI with long-term capital, deep operating expertise, and access to real-world enterprise scale from day one.\n The Role\nAs a Senior Full Stack AI Engineer at JazzX AI, you will play a pivotal role in designing, building, and enhancing innovative, high-performance AI-driven solutions. You'll work closely with cross-functional teams - AI/research engineers, software engineers, architects, product managers, and designers - to translate complex platform and product requirements into elegant, scalable, and modular AI,software, and infrastructure components.\nYou'll independently build end-to-end applications - from pixel-perfect frontend to robust backend services and AI agent integrations. You thrive in a fast-moving environment where you leverage AI tools (Cursor, Claude Code, Copilot) and vibe coding to rapidly prototype, build, and ship production-grade features. You don’t just use AI - you build with it and build on top of it.\nSenior Full Stack AI Engineer\nDrive architecture decisions for new features and services end to end\nLead the design and development of high-performance, scalable services using a cloud-first approach\nBuild and ship complex, multi-service features with minimal oversight\nMentor engineers and foster their growth and development, elevating team velocity through tooling and best practices\nDesign scalable patterns for AI agent orchestration, data pipelines, and micro-frontends\nChampion DevOps and AIOps best practices for AI services, including robust monitoring and alerting strategies, observability, privacy, and security\nLead technical planning and shape the team's AI-native development culture\nTypically 5-8+ years of relevant experience with demonstrated technical leadership\nWhat You'll Build\nAI-Powered Applications:\nEnd-to-end products combining LLM agents, document intelligence, and knowledge graphs to automate complex enterprise workflows\nIntelligent Frontends:\nRich, responsive React/TypeScript UIs with real-time streaming, document viewers, code editors, and interactive data visualizations\nBackend Services:\nHigh-performance, scalable microservices (Python/FastAPI, Node.js, or Java) with async patterns, event-driven architectures (Kafka, Celery), and robust API layers - using a cloud-first, cloud-agnostic approach\nAI Agent Pipelines:\nLLM orchestration using Lang Chain/Lang Graph, MCP integrations, and custom agent frameworks that reason over structured and unstructured data\nData & Search Systems:\nSemantic search with pgvector embeddings, knowledge graphs (Neo4j), and intelligent document processing pipelines\nPlatform Infrastructure:\nEnsure platform scalability, reliability, security, privacy, and operability across all services. Implement robust monitoring and alerting strategies\nOur Tech Stack\nFrontend\nReact 18, TypeScript, Vite, Material UI, MobX/Redux, D3, Monaco Editor,Module Federation (micro-frontends)\nBackend\nPython 3.11+ (FastAPI, SQLModel/SQLAlchemy), Node.js, Java, Celery,Kafka, Redis, WebSockets\nAI / LLM\nAnthropic Claude, OpenAI GPT, LangChain, LangGraph, LlamaIndex,MCP, Azure Document Intelligence, Custom Agent Frameworks\nData\nPostgreSQL, pgvector, Neo4j, Redis, SPARQL, Pydantic\nCloud & Infra\nAzure (Storage, Monitor, Identity), AWS (S3, boto3), Docker, Kubernetes,Terraform/Ansible, OpenTelemetry, GitHub Actions\n Dev Tooling\nCursor, Claude Code, Copilot, Poetry, Ruff, pytest, Vitest, Storybook, Pre-commit\nRequired Skills\nFull-Stack Proficiency:\nStrong hands-on experience with React/TypeScript frontend AND backend development in one or more of: Python (FastAPI),Node.js, Java, Golang, or C++\nAI-Native Builder:\nDemonstrated ability to build applications using LLM APIs(Claude, GPT) and AI-assisted coding tools (Cursor, Copilot, Claude Code). Familiarity with modern GenAI/LLM services and AI agent frameworks like Lang Chain, LlamaIndex is highly desired\nEnd-to-End Ownership:\nComfortable going from idea → prototype →production across UI, API, database, and deployment\nCloud-Native Mindset:\nStrong understanding of cloud-native architectures, containers, and orchestration systems (Docker, Kubernetes). Familiarity with AWS, Azure, or GCP and Infrastructure as Code (Terraform, Ansible) is a plus\nAsync & Event-Driven Patterns:\nExperience with async patterns, task queues(Celery), message brokers (Kafka/Redis)\nDatabase Fluency:\nSolid SQL skills (PostgreSQL), experience with ORMs(SQLAlchemy/SQLModel), and exposure to vector databases or graph databases\nModern Dev Practices:\nGit workflows, CI/CD, Docker, automated testing(pytest, Vitest), code review culture. Champion innovative software design patterns and advocate for best-in-class observability, security, and privacy practices\nVibe Coding Mindset:\nYou actively use AI to accelerate development -prompt engineering, code generation, and iterative refinement are part of your daily flow\nNice to Have\n Qualifications\nBachelor's or Master's degree in Computer Science, Software Engineering, or related field. Equivalent experience also considered\n 5-8+ years of software development experience, with at least 2 years in senior or lead engineering role\nA naturally curious attitude with a proactive approach to learning, experimenting, building, and improving\nWhy Join JazzX AI:\nWhat draws people to JazzX AI is the opportunity to build something truly foundational.\nWe are at the beginning of a new era - one where enterprise systems will no longer be static tools, but dynamic collaborators that learn, reason, and evolve alongside the people who use them. At JazzX AI, you’ll help build a platform that redefines how work happens in the AGI era.\nJazzX AI brings together vision, deep technology, and purpose. This is not about experimenting with AI features; it’s about turning the promise of AGI into practical, auditable, and human-aligned systems that enterprises can trust and rely on at scale. The work here directly impacts productivity, efficiency, and decision-making in complex, real-world environments.\nIf you’re motivated by building systems that matter - systems that combine intelligence with responsibility - JazzX AI offers the chance to do that work at a deeper level, with real ownership and lasting impact.\nHeadquartered in Los Altos, CA. 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