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.

Job Title: Business Analyst – Mortgage Loan Origination (Underwriting & Transformation)

Role Overview

We are seeking a Business Analyst with strong experience in Mortgage Loan Origination and Underwriting, and a passion for process automation and technology transformation.

You’ll partner with clients to map workflows, define requirements, and guide deployment of JazzX Mortgage Solution that improves efficiency, accuracy, and compliance.

Key Responsibilities

• Lead discovery sessions with client stakeholders to document current-state workflows and identify pain points
• Analyze and document processes within client Loan origination systems across origination, processing, underwriting, and closing
• Define “to-be” workflows aligned to JazzX Mortgage Solution and directed workflow model, and perform fit gap analysis
• Develop clear Business Requirements Documents (BRDs), user stories, and acceptance criteria for JazzX implementation
• Translate operational pain points into actionable design inputs for product and engineering teams.
• Support UAT, pilot rollouts, and performance tracking (time-to-close, touches, exception rates).
• Serve as the primary liaison between client operations, JazzX delivery and Product teams.
• Partner with product teams to refine the JazzX platform and continuously improve delivery

 Qualifications

• 4+ years in Mortgage Loan Origination (processing/underwriting focus) for the US market. and 8+ years of overall BA experience
• Deep understanding of
• Encompass LOS (ICE Mortgage Technology) or equivalent Loan origination systems
• DU/LP AUS engines and related credit/income validation
• VOE/VOA, title, appraisal, and credit ordering workflows
• TRID timelines and disclosure management
• Experience bridging operations and technology in a consulting, business analysis, or process improvement role
• Strong communication, facilitation, and documentation skills.

Preferred

• Experience in AI, workflow automation, or LOS modernization projects.
• Familiarity with API integrations, BPMN workflows, or intelligent document processing.
• Prior consulting or implementation experience with fintech or mortgage technology firms.

Job Title: Solution and Sales Anchor 
(Full-time · Remote-first with periodic travel to client sites & JazzX hubs) 

Role Overview 

We are seeking dynamic, entrepreneurial professional to join our fast-growing team as hybrid Solution Anchors and Business Development Representatives (SDRs). This is a dual-role position at the forefront of enterprise sales and strategic proposal development, ideal for individuals who thrive in early-stage environments, understand the nuances of enterprise B2B SaaS and AGI platforms, and are passionate about building trusted partnerships with Fortune 1000 companies. 

You’ll be responsible for crafting compelling proposals and RFP responses while simultaneously driving top-of-funnel pipeline activity and qualifying leads through outbound sales initiatives. This is a foundational role with high visibility and direct impact on our revenue and growth trajectory. 

Key Responsibilities 

Sales Development Representative Duties: 

• Conduct research to identify key stakeholders and decision-makers within target Fortune 1000 accounts. 

• Execute multi-channel outbound campaigns via email, phone, and LinkedIn to generate qualified meetings. 

• Develop tailored messaging that highlights value propositions and addresses client-specific pain points. 

• Nurture leads through the early stages of the sales funnel, handoff qualified opportunities to Account Executives. 

• Keep CRM systems updated with accurate and timely lead activity data. 

Proposal Anchor Duties: 

• Lead the development and submission of responses to RFPs, RFIs, and security questionnaires from enterprise prospects. 

• Collaborate cross-functionally with product, engineering, legal, and leadership to gather accurate and timely information for proposals. 

• Maintain a knowledge base of standard proposal content and reusable assets to accelerate response time. 

• Ensure proposals align with the brand’s voice, strategic messaging, and compliance standards. 

• Track and analyze proposal performance metrics to identify areas of improvement. 

Qualifications 

• 2–5 years of combined experience in B2B SaaS enterprise sales, proposal management, or business development. 

• Familiarity with AGI or advanced AI technologies, and the ability to translate technical value into business impact. 

• Demonstrated success in generating outbound leads and/or managing high-quality proposal submissions. 

• Experience working in a startup or high-growth environment is highly preferred. 

• Strong writing and editing skills with an eye for detail and structure. 

• Strong preference for an MBA with an undergraduate degree in Computer Science or IT  

• Proficiency with sales tools such as HubSpot 

• Comfortable using collaboration tools such as Notion 

• Working knowledge of data privacy, security, and procurement processes in large enterprises is a strong plus. 

Attributes 

• Structured Thinker: Ability to break down complex problems into clear processes and actionable insights. 

• Self-Starter: Proactive, resourceful, and able to work independently in a fast-moving environment. 

• Startup Mentality: You move fast, learn quickly, and are comfortable wearing many hats. 

• Mission-Driven: You want to solve important, high-impact problems that matter to real people. 

• Team-Oriented: Low ego, collaborative, and excited to build alongside highly capable engineers, designers, and domain experts. 

Travel 

This position requires the ability to travel to client sites as needed for on-site deployments and collaboration. Travel is estimated at approximately 20–30% of the time (varying by project), and flexibility is expected to accommodate key client engagement activities. 

Job Title: Senior AGI Engineer – GTM Solution Delivery 

Role Overview 

As a Senior AGI Engineer you are the hands-on technical force that turns JazzX’s AGI platform into working, measurable solutions for customers. You will: 

• Build and integrate LLM-driven features, vector search pipelines, and tool-calling agents into client environments. 

• Collaborate with solution architects, product, and customer-success teams from discovery through production rollout. 

• Contribute field learnings back to the core platform, accelerating time-to-value across all deployments. 

You are as comfortable writing production-quality Python as you are debugging Helm charts, and you enjoy explaining your design decisions to both peers and client engineers. 

Key Responsibilities 

Qualifications 

Must-Have 

• 5+ years of professional software engineering experience; 2+ years working with ML or data-intensive systems. 

• Proficiency in Python (or Java/Go) with strong software-engineering fundamentals (testing, code reviews, CI/CD). 

• Hands-on experience deploying containerised services on AWS, GCP, or Azure using Kubernetes & Helm. 

• Practical knowledge of LLM / Gen-AI frameworks (LangChain, LlamaIndex, PyTorch, or TensorFlow) and vector databases. 

• Familiarity integrating REST/GraphQL APIs, streaming platforms (Kafka), and SQL/NoSQL stores. 

• Clear written and verbal communication skills; ability to collaborate with distributed teams. 

• Willingness to travel 10–20 % for key customer engagements. 

Nice-to-Have 

• Experience delivering RAG or agent-based AI solutions in regulated domains (finance, healthcare, telecom). 

• Cloud or Kubernetes certifications (AWS SA-Assoc/Pro, CKA, CKAD). 

• Exposure to MLOps stacks (Kubeflow, MLflow, Vertex AI) or data-engineering tooling (Airflow, dbt). 

Attributes 

• Empathy & Ownership: You listen carefully to user needs and take full ownership of delivering great experiences. 

• Startup Mentality: You move fast, learn quickly, and are comfortable wearing many hats. 

• Detail-Oriented: You care about the little things  

• Mission-Driven: You want to solve important, high-impact problems that matter to real people. 

• Team-Oriented: Low ego, collaborative, and excited to build alongside highly capable engineers, designers, and domain experts. 

Travel 

This position requires the ability to travel to client sites as needed for on-site deployments and collaboration. Travel is estimated at approximately 20–30% of the time (varying by project), and flexibility is expected to accommodate key client engagement activities.