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About JazzX AI: Vision: Enterprises operating on institutional intelligencegoverned, self-improving, and scalable beyond individual expertise. JazzX AI is defining the future of enterprise workby building AI-native digital workers that actually get the job done. We believe enterprises don't scale expertisethey 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. JazzX 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 scalein domains where getting it wrong isn't an option. We're starting with lending and due-diligence workflowscomplex, regulated, high-stakes. From here, we're building the backbone for enterprise intelligence across industries. This 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 outcomesnot demos, not chatbotsJazzX AI is the place. About SAIGroup : SAIGroup a private investment firm that has committed $1B to build and scale next-generation, AI-powered enterprise software companies. SAIGroups 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. The Role As 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. You'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 dont just use AI you build with it and build on top of it. Senior Full Stack AI Engineer Drive architecture decisions for new features and services end to end Lead the design and development of high-performance, scalable services using a cloud-first approach Build and ship complex, multi-service features with minimal oversight Mentor engineers and foster their growth and development, elevating team velocity through tooling and best practices Design scalable patterns for AI agent orchestration, data pipelines, and micro-frontends Champion DevOps and AIOps best practices for AI services, including robust monitoring and alerting strategies, observability, privacy, and security Lead technical planning and shape the team's AI-native development culture Typically 58+ years of relevant experience with demonstrated technical leadership What You'll Build AI-Powered Applications: End-to-end products combining LLM agents, document intelligence, and knowledge graphs to automate complex enterprise workflows Intelligent Frontends: Rich, responsive React/TypeScript UIs with real-time streaming, document viewers, code editors, and interactive data visualizations Backend Services: High-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 AI Agent Pipelines: LLM orchestration using Lang Chain/Lang Graph, MCP integrations, and custom agent frameworks that reason over structured and unstructured data Data & Search Systems: Semantic search with pgvector embeddings, knowledge graphs (Neo4j), and intelligent document processing pipelines Platform Infrastructure: Ensure platform scalability, reliability, securit .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.