Staff Solutions Engineer

About JazzX AI:    Vision: Enterprises operating on institutional intelligence—governed, self-improving, and scalable beyond individual expertise. JazzX AI is defining the future of enterprise work—by building AI-native digital workers that actually get the job done.   We 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.  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 scale—in domains where getting it wrong isn't an option.   We're starting with lending and due-diligence workflows—complex, 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 outcomes—not demos, not chatbots—JazzX AI is the place. Headquartered in Los Altos, CA. Backed by SAIGroup.   About SAIGroup :   SAIGroup 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. Learn more about JazzX AI:Website: https://jazzx.aiLinkedIn: https://www.linkedin.com/company/jazzx-ai Learn more about SAIGroup:Website: https://saigroup.ai   Role Overview As a Staff Solutions Engineer, you will play a strategic, hands-on role in transforming JazzX’s AGI platform into scalable, high-impact solutions for enterprise customers. With your deep technical expertise and leadership, you’ll drive the design, development, and deployment of LLM-powered applications across complex client environments. You will: Lead the integration of LLM features, vector search pipelines, and agentic workflows into production systems. Partner with solution architects, product managers, and customer success teams across the full solution lifecycle—from discovery through deployment and optimization. Influence core platform enhancements by contributing real-world learnings and reusable components. Set the technical bar through design leadership, mentoring, and rigorous engineering practices. Key Responsibilities Solution Architecture & Implementation Architect and implement end-to-end AGI solutions, including retrieval-augmented generation (RAG), tool-using agents, and LLM orchestration patterns. Design and integrate secure data pipelines, APIs, and authorization layers tailored to customer environments. Make high-impact, component-level design decisions, balancing performance, maintainability, and customer goals. Delivery Leadership Own delivery of proof-of-concepts, pilots, and scalable production rollouts in agile settings. Ensure production readiness through observability (logs, metrics, tracing) and contribute to incident response/on-call rotations as needed. Collaboration & Enablement Work closely with research and product teams to test and validate emerging LLM techniques in customer contexts. Serve as a technical escalation point for customer implementations, proactively identifying and resolving complex issues. Mentor junior engineers and contribute to internal best practices through code reviews, demos, and documentation. Innovation & Thought Leadership Evaluate and pilot emerging frameworks (e.g., AutoGen, LangGraph, WASM inference engines) and contribute reusable assets to the internal platform. Shape JazzX’s field engineering playbook by sharing insights, reusable templates, and domain-specific solutions. Qualifications Must-Have 8+ years of experience in professional software engineering, with at least 3+ years working on ML, data, or AI/LLM-centric systems. Strong expertise in Python (or Go/Java), with production-grade coding, testing, and CI/CD best practices. Proficiency in modern GenAI/LLM frameworks (e.g., LangChain, LlamaIndex, HuggingFace Transformers, PyTorch, TensorFlow) and vector databases (e.g., Pinecone, Weaviate, FAISS). Familiarity with integrating REST/GraphQL APIs, Kafka streams, and relational/non-relational databases. Excellent communication skills and the ability to work cross-functionally with engineering, product, and customer stakeholders. Willingness to travel up to 20% for key customer engagements. Nice-to-Have Experience delivering RAG, fine-tuning, or agentic solutions in regulated industries (e.g., finance, healthcare, telecom). Any Certifications in cloud Exposure to MLOps and data engineering tools (e.g., MLflow, Kubeflow, Vertex AI, Airflow, dbt). Attributes We Value Technical Leadership – You take ownership, guide architecture decisions, and raise the bar for engineering quality. Customer Focus – You thrive on solving real-world challenges and building trust with technical stakeholders. Startup Mindset – You move fast, embrace ambiguity, and iterate quickly. Collaboration & Mentorship – You elevate those around you through thoughtful feedback, knowledge sharing, and support. Mission-Driven – You’re motivated by the opportunity to shape the future of intelligent, human-centric software. Why Join JazzX AI - What draws people to JazzX AI is the opportunity to build something truly foundational. We 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. JazzX 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. If 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.