About JazzX AI Builder Studio 

JazzX AI Builder Studio is an enterprise AGI builder platform designed to empower builders to rapidly build, validate, and deploy production-grade AGI solutions with confidence. 

Builder Studio provides a unified, modular environment where teams compose reusable components, leverage domain-aware reasoning, and apply rigorous evaluation and governance workflows. With built-in capabilities for evaluation, explainability, and domain intelligence, Builder Studio enables enterprises to scale AI adoption across complex, high-stakes domains with reduced risk and significantly higher productivity, with an AI-native approach for Builders optimizing for speed, accuracy, flexibility and reusability. 

Role Overview 

Builder Studio owns a large, high-impact execution surface within Builder Studio, partnering closely with the stakeholders to bring the overall product vision to life. 

This role focuses on how the platform works in practice for builders and solution teams - ensuring that reusable components, evaluation systems, and domain intelligence come together into coherent, scalable workflows. 

Rather than defining the entire platform narrative, this PM is responsible for turning strategy into durable systems that compound value across solutions, customers, and domains. 

What You’ll Own 

Platform Systems & Execution Ownership 

• Own one or more major platform capability areas (e.g. reuse & solutioning workflows, AI quality systems, domain intelligence enablement), with scope evolving over time. 

• Translate platform strategy into clear product requirements, milestones, and delivery plans. 

• Ensure platform primitives are composable, extensible, and production-ready. 

• Partner with engineering to manage tradeoffs around flexibility, correctness, and backward compatibility. 

Reuse, Leverage & Solutioning Workflows 

• Enable builders to assemble solutions using reusable components instead of starting from scratch. 

• Define workflows for packaging, discovering, adapting, and versioning of reusable assets. 

• Reduce friction in customizing templates for customer- and domain-specific needs. 

• Help turn repeated solution patterns into first-class platform capabilities. 

AI Quality, Evaluation & Debugging 

• Help productize AI evaluation as part of normal builder workflows. 

• Define quality signals, regression detection, and drift monitoring surfaces to builders. 

• Enable debugging workflows that rely on evaluation signals, comparisons, and diffs—not just logs. 

• Ensure quality systems support enterprise trust, auditability, and governance needs. 

Domain Intelligence Enablement 

• Support workflows for configuring and evolving domain logic, reasoning systems, and knowledge assets. 

• Ensure domain intelligence integrates cleanly with solutioning, evaluation, and deployment systems. 

• Help solution engineers and domain experts collaborate without excessive custom engineering. 

• Promote reuse of domain intelligence across workflows and customers. 

Builder Experience & Adoption 

• Advocate for builder productivity and clarity across platform workflows. 

• Ensure smooth progression from sandbox experimentation to production deployment. 

• Continuously identify and remove friction in day-to-day solution building. 

• Validate product decisions through close collaboration with forward deployment and solution teams. 

Cross-Functional Collaboration 

• Partner closely with the Platform Lead to align execution with the overall product strategy. 

• Work day-to-day with engineering, design, AI research, and forward deployment teams. 

• Bring structured thinking and clarity to complex, ambiguous problem spaces. 

• Help drive prioritization and sequencing across competing platform investments. 

What We’re Looking For 

• 8 to 10 years of product management experience, ideally on platforms, developer tooling, or enterprise systems. 

• Strong execution mindset with the ability to own complex systems end-to-end. 

• Comfort working with AI-powered systems (agents, workflows, evaluation, or reasoning), without requiring deep research specialization. 

• Ability to reason for tradeoffs between flexibility, reuse, quality, and governance. 

• Proven ability to partner with senior PMs and engineering leaders. 

• Clear communicator who can turn ambiguity into structured plans. 

Solutions Architect

Role Overview 

As Solutions Architect you operate at the intersection of deep technical leadership and high-stakes client engagement. You will: 

• Own solution architecture and technical delivery for marquee customers, ensuring JazzX’s AGI platform unlocks measurable business value. 
• Guide multi-disciplinary squads (product, research, engineering, and customer success) from discovery through full production rollout. 
• Shape platform roadmap with field feedback, driving features that accelerate time-to-value and differentiate JazzX in the market. 

You are equally comfortable white-boarding LLM retrieval strategies, optimising prompt chains, troubleshooting Kubernetes deployments, or presenting to a C-suite audience. 

Key Responsibilities 

Qualifications 

Must-Have 

• 10–12 years of software engineering experience, 5+ in staff/principal or solution-architect roles. 
• Proven record delivering large-scale, low-latency distributed systems (Python, Java, Go, or C++). 
• Hands-on with LLM / AI frameworks (LangChain, LlamaIndex, PyTorch, TensorFlow) and productionising ML pipelines. 
• Expertise integrating REST/GraphQL APIs, streaming platforms (Kafka), SQL & NoSQL stores, and vector DBs. 
• Outstanding client-facing communication, executive-level presentation, and stakeholder-management skills. 

Nice-to-Have 

• Masters or PhD in AI/Data Science/Computer Science 
• Experience shipping RAG or agent-based AI systems in regulated industries. 
• Nice to have certifications in cloud architecture, data engineering, or security (e.g., AWS SA-Pro, CKA). 
• Background in professional-services, forward-deployed engineering, or AI platform product management. 

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 30–40% of the time (varying by project), and flexibility is expected to accommodate key client engagement activities. 

Staff Solutions Engineer 
Location: Bengaluru, Karnataka (Hybrid) 

Role Overview 

As a Staff Solutions Engineer, you are a hands-on software engineer who leads customer engagements from a technical pod while remaining deeply involved in design and implementation. 

You will own the technical success of customer deployments built on JazzX’s AGI platform—leading architecture, implementation, and delivery while working directly with enterprise customers. This role is designed for engineers who enjoy building real systems, guiding other engineers, and taking accountability for outcomes in complex customer environments. 

It is a delivery-focused engineering leadership role that combines deep technical execution with customer-facing ownership. 

You will: 

• Lead customer engagements as the technical owner for a delivery pod. 

• Design and implement production-grade enterprise systems using JazzX’s platform. 

• Apply GenAI and LLM-based capabilities (e.g., RAG, agent workflows) as part of scalable, reliable solutions. 

• Partner with product, platform, and research teams across the full solution lifecycle. 

• Act as the primary technical escalation point for customer deployments. 

• Influence platform evolution by feeding real-world learnings back into reusable components and patterns. 

• Set a high engineering bar through hands-on contribution, design leadership, and mentorship. 

Key Responsibilities 

Hands-On Software Engineering 

• Write and review production-quality code across backend services, APIs, and orchestration layers. 

• Make architectural decisions balancing scalability, performance, security, and long-term maintainability. 

• Design and build robust integrations with multiple third-party systems using RESTful APIs, event-driven interfaces, and data pipelines in complex enterprise environments. 

• Ensure solutions meet production standards for reliability, observability, and operational readiness. 

Applied GenAI & Agentic Systems 

• Apply a strong understanding of LLM behavior, capabilities, and limitations to design reliable, production-ready systems. 

• Build and orchestrate agentic workflows that coordinate multiple steps, tools, and decision points to achieve complex goals. 

• Design prompt strategies, tool interfaces, and control flows that enable agents to reason, act, and recover from failures. 

• Integrate LLMs into larger software systems with clear boundaries, guardrails, and observability. 

• Evaluate and iterate on agent behavior using real-world signals such as correctness, latency, cost, and user outcomes. 

• Collaborate with platform and research teams to validate emerging agent frameworks and reasoning approaches in customer environments. 

Customer Delivery Leadership 

• Lead technical execution for customer POCs, pilots, and production rollouts. 

• Work closely with customer engineering and IT teams to integrate JazzX into existing enterprise ecosystems. 

• Troubleshoot complex integration, data, and system issues, owning resolution end-to-end. 

Staff-Level Impact 

• Lead and mentor engineers within the delivery pod, providing technical direction and feedback. 

• Establish and reinforce best practices for customer-facing engineering. 

• Turn customer insights into reusable architectures, templates, and delivery standards. 

Qualifications 

Must-Have 

• 9+ years of professional software engineering experience building and operating production systems. 

• Strong proficiency in Python with a proven track record of writing maintainable, well-tested code. 

• Experience designing and building backend services, APIs, and distributed systems. 

• Practical experience applying GenAI or LLM-based systems in real-world applications (e.g., RAG pipelines, agent workflows, LLM-backed services). 

• Experience leading or owning technical delivery for customer-facing projects. 

• Strong understanding of system reliability, observability, and operational best practices. 

• Excellent communication skills and ability to collaborate with engineering, product, and customer stakeholders. 

• Willingness to travel up to 20% for key customer engagements. 

Nice-to-Have 

• Experience delivering software in regulated or policy-heavy domains (e.g., finance, lending, healthcare, insurance). 

• Familiarity with vector databases, semantic search, or knowledge retrieval systems. 

• Experience contributing to shared libraries, internal platforms, or reusable engineering components. 

• Prior experience in a fast-paced startup or early-stage product environment. 

Attributes We Value 

• Hands-On Leadership: You lead by building, reviewing, and guiding—not by delegating everything. 

• Engineering Excellence: You care deeply about correctness, reliability, and long-term maintainability. 

• Customer Empathy: You understand enterprise constraints and design systems accordingly. 

• Ownership & Accountability: You take responsibility for outcomes, not just tasks. 

• Collaboration & Mentorship: You raise the bar for those around you. 

Staff Solutions Engineer 
Location: Bengaluru, Karnataka (Hybrid) 

Role Overview 

As a Staff Solutions Engineer, you are a hands-on software engineer who leads customer engagements from a technical pod while remaining deeply involved in design and implementation. 

You will own the technical success of customer deployments built on JazzX’s AGI platform—leading architecture, implementation, and delivery while working directly with enterprise customers. This role is designed for engineers who enjoy building real systems, guiding other engineers, and taking accountability for outcomes in complex customer environments. 

It is a delivery-focused engineering leadership role that combines deep technical execution with customer-facing ownership. 

You will: 

• Lead customer engagements as the technical owner for a delivery pod. 

• Design and implement production-grade enterprise systems using JazzX’s platform. 

• Apply GenAI and LLM-based capabilities (e.g., RAG, agent workflows) as part of scalable, reliable solutions. 

• Partner with product, platform, and research teams across the full solution lifecycle. 

• Act as the primary technical escalation point for customer deployments. 

• Influence platform evolution by feeding real-world learnings back into reusable components and patterns. 

• Set a high engineering bar through hands-on contribution, design leadership, and mentorship. 

Key Responsibilities 

Hands-On Software Engineering 

• Write and review production-quality code across backend services, APIs, and orchestration layers. 

• Make architectural decisions balancing scalability, performance, security, and long-term maintainability. 

• Design and build robust integrations with multiple third-party systems using RESTful APIs, event-driven interfaces, and data pipelines in complex enterprise environments. 

• Ensure solutions meet production standards for reliability, observability, and operational readiness. 

Applied GenAI & Agentic Systems 

• Apply a strong understanding of LLM behavior, capabilities, and limitations to design reliable, production-ready systems. 

• Build and orchestrate agentic workflows that coordinate multiple steps, tools, and decision points to achieve complex goals. 

• Design prompt strategies, tool interfaces, and control flows that enable agents to reason, act, and recover from failures. 

• Integrate LLMs into larger software systems with clear boundaries, guardrails, and observability. 

• Evaluate and iterate on agent behavior using real-world signals such as correctness, latency, cost, and user outcomes. 

• Collaborate with platform and research teams to validate emerging agent frameworks and reasoning approaches in customer environments. 

Customer Delivery Leadership 

• Lead technical execution for customer POCs, pilots, and production rollouts. 

• Work closely with customer engineering and IT teams to integrate JazzX into existing enterprise ecosystems. 

• Troubleshoot complex integration, data, and system issues, owning resolution end-to-end. 

Staff-Level Impact 

• Lead and mentor engineers within the delivery pod, providing technical direction and feedback. 

• Establish and reinforce best practices for customer-facing engineering. 

• Turn customer insights into reusable architectures, templates, and delivery standards. 

Qualifications 

Must-Have 

• 9+ years of professional software engineering experience building and operating production systems. 

• Strong proficiency in Python with a proven track record of writing maintainable, well-tested code. 

• Experience designing and building backend services, APIs, and distributed systems. 

• Practical experience applying GenAI or LLM-based systems in real-world applications (e.g., RAG pipelines, agent workflows, LLM-backed services). 

• Experience leading or owning technical delivery for customer-facing projects. 

• Strong understanding of system reliability, observability, and operational best practices. 

• Excellent communication skills and ability to collaborate with engineering, product, and customer stakeholders. 

• Willingness to travel up to 20% for key customer engagements. 

Nice-to-Have 

• Experience delivering software in regulated or policy-heavy domains (e.g., finance, lending, healthcare, insurance). 

• Familiarity with vector databases, semantic search, or knowledge retrieval systems. 

• Experience contributing to shared libraries, internal platforms, or reusable engineering components. 

• Prior experience in a fast-paced startup or early-stage product environment. 

Attributes We Value 

• Hands-On Leadership: You lead by building, reviewing, and guiding—not by delegating everything. 

• Engineering Excellence: You care deeply about correctness, reliability, and long-term maintainability. 

• Customer Empathy: You understand enterprise constraints and design systems accordingly. 

• Ownership & Accountability: You take responsibility for outcomes, not just tasks. 

• Collaboration & Mentorship: You raise the bar for those around you. 

Staff Solutions Engineer 
Location: Bengaluru, Karnataka (Hybrid) 

Role Overview 

As a Staff Solutions Engineer, you are a hands-on software engineer who leads customer engagements from a technical pod while remaining deeply involved in design and implementation. 

You will own the technical success of customer deployments built on JazzX’s AGI platform—leading architecture, implementation, and delivery while working directly with enterprise customers. This role is designed for engineers who enjoy building real systems, guiding other engineers, and taking accountability for outcomes in complex customer environments. 

It is a delivery-focused engineering leadership role that combines deep technical execution with customer-facing ownership. 

You will: 

• Lead customer engagements as the technical owner for a delivery pod. 

• Design and implement production-grade enterprise systems using JazzX’s platform. 

• Apply GenAI and LLM-based capabilities (e.g., RAG, agent workflows) as part of scalable, reliable solutions. 

• Partner with product, platform, and research teams across the full solution lifecycle. 

• Act as the primary technical escalation point for customer deployments. 

• Influence platform evolution by feeding real-world learnings back into reusable components and patterns. 

• Set a high engineering bar through hands-on contribution, design leadership, and mentorship. 

Key Responsibilities 

Hands-On Software Engineering 

• Write and review production-quality code across backend services, APIs, and orchestration layers. 

• Make architectural decisions balancing scalability, performance, security, and long-term maintainability. 

• Design and build robust integrations with multiple third-party systems using RESTful APIs, event-driven interfaces, and data pipelines in complex enterprise environments. 

• Ensure solutions meet production standards for reliability, observability, and operational readiness. 

Applied GenAI & Agentic Systems 

• Apply a strong understanding of LLM behavior, capabilities, and limitations to design reliable, production-ready systems. 

• Build and orchestrate agentic workflows that coordinate multiple steps, tools, and decision points to achieve complex goals. 

• Design prompt strategies, tool interfaces, and control flows that enable agents to reason, act, and recover from failures. 

• Integrate LLMs into larger software systems with clear boundaries, guardrails, and observability. 

• Evaluate and iterate on agent behavior using real-world signals such as correctness, latency, cost, and user outcomes. 

• Collaborate with platform and research teams to validate emerging agent frameworks and reasoning approaches in customer environments. 

Customer Delivery Leadership 

• Lead technical execution for customer POCs, pilots, and production rollouts. 

• Work closely with customer engineering and IT teams to integrate JazzX into existing enterprise ecosystems. 

• Troubleshoot complex integration, data, and system issues, owning resolution end-to-end. 

Staff-Level Impact 

• Lead and mentor engineers within the delivery pod, providing technical direction and feedback. 

• Establish and reinforce best practices for customer-facing engineering. 

• Turn customer insights into reusable architectures, templates, and delivery standards. 

Qualifications 

Must-Have 

• 9+ years of professional software engineering experience building and operating production systems. 

• Strong proficiency in Python with a proven track record of writing maintainable, well-tested code. 

• Experience designing and building backend services, APIs, and distributed systems. 

• Practical experience applying GenAI or LLM-based systems in real-world applications (e.g., RAG pipelines, agent workflows, LLM-backed services). 

• Experience leading or owning technical delivery for customer-facing projects. 

• Strong understanding of system reliability, observability, and operational best practices. 

• Excellent communication skills and ability to collaborate with engineering, product, and customer stakeholders. 

• Willingness to travel up to 20% for key customer engagements. 

Nice-to-Have 

• Experience delivering software in regulated or policy-heavy domains (e.g., finance, lending, healthcare, insurance). 

• Familiarity with vector databases, semantic search, or knowledge retrieval systems. 

• Experience contributing to shared libraries, internal platforms, or reusable engineering components. 

• Prior experience in a fast-paced startup or early-stage product environment. 

Attributes We Value 

• Hands-On Leadership: You lead by building, reviewing, and guiding—not by delegating everything. 

• Engineering Excellence: You care deeply about correctness, reliability, and long-term maintainability. 

• Customer Empathy: You understand enterprise constraints and design systems accordingly. 

• Ownership & Accountability: You take responsibility for outcomes, not just tasks. 

• Collaboration & Mentorship: You raise the bar for those around you. 

Staff Solutions Engineer 
Location: Bengaluru, Karnataka (Hybrid) 

Role Overview 

As a Staff Solutions Engineer, you are a hands-on software engineer who leads customer engagements from a technical pod while remaining deeply involved in design and implementation. 

You will own the technical success of customer deployments built on JazzX’s AGI platform—leading architecture, implementation, and delivery while working directly with enterprise customers. This role is designed for engineers who enjoy building real systems, guiding other engineers, and taking accountability for outcomes in complex customer environments. 

It is a delivery-focused engineering leadership role that combines deep technical execution with customer-facing ownership. 

You will: 

• Lead customer engagements as the technical owner for a delivery pod. 

• Design and implement production-grade enterprise systems using JazzX’s platform. 

• Apply GenAI and LLM-based capabilities (e.g., RAG, agent workflows) as part of scalable, reliable solutions. 

• Partner with product, platform, and research teams across the full solution lifecycle. 

• Act as the primary technical escalation point for customer deployments. 

• Influence platform evolution by feeding real-world learnings back into reusable components and patterns. 

• Set a high engineering bar through hands-on contribution, design leadership, and mentorship. 

Key Responsibilities 

Hands-On Software Engineering 

• Write and review production-quality code across backend services, APIs, and orchestration layers. 

• Make architectural decisions balancing scalability, performance, security, and long-term maintainability. 

• Design and build robust integrations with multiple third-party systems using RESTful APIs, event-driven interfaces, and data pipelines in complex enterprise environments. 

• Ensure solutions meet production standards for reliability, observability, and operational readiness. 

Applied GenAI & Agentic Systems 

• Apply a strong understanding of LLM behavior, capabilities, and limitations to design reliable, production-ready systems. 

• Build and orchestrate agentic workflows that coordinate multiple steps, tools, and decision points to achieve complex goals. 

• Design prompt strategies, tool interfaces, and control flows that enable agents to reason, act, and recover from failures. 

• Integrate LLMs into larger software systems with clear boundaries, guardrails, and observability. 

• Evaluate and iterate on agent behavior using real-world signals such as correctness, latency, cost, and user outcomes. 

• Collaborate with platform and research teams to validate emerging agent frameworks and reasoning approaches in customer environments. 

Customer Delivery Leadership 

• Lead technical execution for customer POCs, pilots, and production rollouts. 

• Work closely with customer engineering and IT teams to integrate JazzX into existing enterprise ecosystems. 

• Troubleshoot complex integration, data, and system issues, owning resolution end-to-end. 

Staff-Level Impact 

• Lead and mentor engineers within the delivery pod, providing technical direction and feedback. 

• Establish and reinforce best practices for customer-facing engineering. 

• Turn customer insights into reusable architectures, templates, and delivery standards. 

Qualifications 

Must-Have 

• 9+ years of professional software engineering experience building and operating production systems. 

• Strong proficiency in Python with a proven track record of writing maintainable, well-tested code. 

• Experience designing and building backend services, APIs, and distributed systems. 

• Practical experience applying GenAI or LLM-based systems in real-world applications (e.g., RAG pipelines, agent workflows, LLM-backed services). 

• Experience leading or owning technical delivery for customer-facing projects. 

• Strong understanding of system reliability, observability, and operational best practices. 

• Excellent communication skills and ability to collaborate with engineering, product, and customer stakeholders. 

• Willingness to travel up to 20% for key customer engagements. 

Nice-to-Have 

• Experience delivering software in regulated or policy-heavy domains (e.g., finance, lending, healthcare, insurance). 

• Familiarity with vector databases, semantic search, or knowledge retrieval systems. 

• Experience contributing to shared libraries, internal platforms, or reusable engineering components. 

• Prior experience in a fast-paced startup or early-stage product environment. 

 Attributes We Value 

• Hands-On Leadership: You lead by building, reviewing, and guiding—not by delegating everything. 

• Engineering Excellence: You care deeply about correctness, reliability, and long-term maintainability. 

• Customer Empathy: You understand enterprise constraints and design systems accordingly. 

• Ownership & Accountability: You take responsibility for outcomes, not just tasks. 

• Collaboration & Mentorship: You raise the bar for those around you. 

Role Overview

As a Senior Staff Software Engineer at JazzX AI, you will operate as a principal technical owner of the platform’s most critical architectural foundations. This is a highly hands-on, senior individual contributor role with company-wide technical influence.

You will lead the design and evolution of core platform systems, shape long-term technical strategy, and drive execution across multiple teams and domains. Your work will directly influence:

• The long-term architecture of JazzX’s AI-native SaaS + PaaS platform
• How AI capabilities are safely, reliably, and audibly operationalized at scale
• Platform reliability, performance, security, and developer experience
• Engineering standards, architectural principles, and technical decision-making across the organization

This role is for engineers who think in systems, operate with extreme ownership, and enjoy solving ambiguous, high-impact problems at platform scale.

What You Will Do

1. Platform & System Architecture

• Define and evolve the end-to-end architecture for core platform services that power JazzX’s AI-native enterprise system.
• Own architectural decisions across distributed systems, service orchestration, data flows, and platform extensibility.
• Ensure designs balance scalability, reliability, security, privacy, and operational excellence.
• Drive architectural reviews, RFCs, and long-term technical planning across teams.
• Lead the design of enterprise workflows involving multiple services, teams, and human/system interactions
• Use process modeling techniques (e.g., BPMN or equivalent) to clarify flows, ownership, failure paths, and execution semantics

2. Cloud-Native & Infrastructure Foundations

• Set technical direction for cloud-native architecture across compute, storage, networking, and deployment models.
• Champion cloud-first, cloud-agnostic patterns and infrastructure best practices.
• Guide containerization, orchestration, and Infrastructure-as-Code standards.
• Partner closely with SRE, DevOps, and Security teams to build resilient, observable, and cost-efficient systems.

3. Developer Experience & Platform Enablement

• Design and build foundational APIs, frameworks, and abstractions that enable application and AI engineers to move fast without compromising correctness or safety.
• Establish platform contracts, service boundaries, and internal standards for extensibility and reuse.
• Ensure platform components are modular, composable, and well-documented.
• Act as a force multiplier for engineering velocity across the organization.

4. Operational Excellence & Reliability

• Own production readiness for mission-critical platform components, including availability, latency, scalability, and fault isolation.
• Define and enforce SLAs, SLOs, and reliability standards.
• Drive best practices around observability, distributed tracing, alerting, and incident response.
• Continuously improve operational maturity as the platform scales.

5. Technical Leadership & Organizational Influence

• Serve as a senior technical leader influencing platform direction through execution, not hierarchy.
• Mentor Staff and Senior engineers, raising the bar for systems thinking, design quality, and technical rigor.
• Collaborate deeply with AI research, product, security, and design teams to translate complex requirements into robust platform capabilities.
• Act as a trusted technical advisor to senior engineering and product leadership.

What We’re Looking For

Required Qualifications

• 12+ years of experience designing, building, and operating large-scale, production-grade software systems.
• Proven track record of owning and evolving complex distributed systems or platform architectures.
• Deep expertise in cloud-native systems, service-oriented design, and distributed architectures.
• Strong hands-on experience with containerized environments (Docker, Kubernetes) and modern cloud platforms.
•  

Software Engineering Excellence

• Expert-level understanding of software design principles, clean code practices, and system-level trade-offs.
• Strong proficiency in Python, with deep experience in at least one of: Java -Primary , Go, or JavaScript.
• Demonstrated ownership across the full SDLC: design, implementation, testing, deployment, and operations.
• Ability to make sound architectural decisions under ambiguity and evolving requirements.

Platform, Data & Infrastructure Skills

• Experience with Infrastructure as Code (Terraform, CloudFormation, or equivalent).
• Strong understanding of observability stacks, metrics, logging, and distributed tracing.
• Experience with event-driven systems, streaming platforms (e.g., Kafka), and both SQL and NoSQL databases.
• Familiarity with enterprise security, access control, and compliance considerations.
• Experience designing and implementing cross-system workflows (order processing, onboarding, approvals, etc.)
• Hands-on experience with BPMN-based or workflow-driven systems

AI / ML (Strong Plus)

• Experience building or operating platforms that support AI/ML or data-intensive workloads.
• Exposure to MLOps, AI service deployment, or AI-adjacent infrastructure.
• Experience integrating modern AI systems (LLMs, agents, retrieval, evaluation pipelines) into production platforms is a strong plus.

What Sets You Apart

• You think in platforms and systems, not just services.
• You lead through technical depth, execution, and influence, not authority.
• You are comfortable owning decisions with long-term architectural consequences.
• You care deeply about production quality, reliability, and maintainability.
• You thrive in environments where the platform is still being defined.

Staff Software Development Engineer  

As a Staff Software Development Engineer at JazzX AI, you'll define the technical vision for our enterprise AI platform, mentor senior engineers, and oversee the design, development, and deployment of critical AI, software and infra services and components.  You'll be responsible for ensuring the platform's scalability, reliability, security and observability. 

What You Will Do 

Design and Architect Scalable Solutions: 

• Lead the design and development of high-performance, scalable services and components for our enterprise AI platform using a cloud-first, cloud-agnostic approach with world class AI capabilities, scalability, security, privacy and operability.
• Champion a cloud-first, cloud-agnostic approach to ensure platform versatility, scalability, and future-proof architecture.
• Champion innovative AI and software design patterns and best practices to ensure code maintainability, reusability, and testability.
• Contribute to the platform's technical direction by staying up to date on emerging AI technologies, cloud design patterns and user experience methodologies. 

Collaborative Innovation: 

• Foster a collaborative environment by working 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.
• Foster a collaborative and inclusive environment by effectively communicating technical concepts and design decisions across diverse audiences.
• Provide mentorship and guidance to junior engineers, fostering their growth and development. 

Driving Operational Excellence: 

• Oversee the seamless integration of components into the platform, ensuring efficient operation, reliability, and a dependable user experience for both customers and partners.
• Champion DevOps and AIOps best practices for AI services, maintainability, performance optimization, and observability. 

Requirements 

• Minimum 10+ years of experience designing, building, and operating cloud-native applications at scale. Expertise in container orchestration frameworks like Kubernetes and containerization technologies like Docker. Expertise in AI/ML/data capabilities, platforms, frameworks and tools.
• Proven track record deploying and managing cloud environments using Infrastructure as Code (IaC) tools like Terraform, Ansible, or CloudFormation.
• Experience in designing and implementing highly available, scalable, and fault-tolerant systems. 

Development Lifecycle: 

• End-to-end ownership of the entire software development lifecycle (SDLC) for complex enterprise platforms and products. This includes experience in design, prototyping, development (including unit, integration, and end-to-end testing), deployment, and ongoing operations. 

Technical Skills: 

• Mastery of essential software development principles with a focus on clean code, design patterns, and best practices.
• In-depth expertise in at least two of the following programming languages: Python, Java, JavaScript, Golang, or C++.
• Solid understanding of distributed systems concepts and experience with distributed tracing tools. 

AI/ML Experience: 

• Demonstrated experience in building, deploying, and managing Machine Learning (ML) and Artificial Intelligence (AI) platforms and services. Familiarity with MLOps practices, frameworks (TensorFlow, PyTorch), and tools is a plus 
• Familiarity with modern LLMs and AI agent frameworks like LangChain, LlamaIndex , AutoGen etc. is a strong plus 

Role Overview

As a Senior Staff Software Engineer at JazzX AI, you will operate as a principal technical owner of the platform’s most critical architectural foundations. This is a highly hands-on, senior individual contributor role with company-wide technical influence.

You will lead the design and evolution of core platform systems, shape long-term technical strategy, and drive execution across multiple teams and domains. Your work will directly influence:

• The long-term architecture of JazzX’s AI-native SaaS + PaaS platform
• How AI capabilities are safely, reliably, and audibly operationalized at scale
• Platform reliability, performance, security, and developer experience
• Engineering standards, architectural principles, and technical decision-making across the organization

This role is for engineers who think in systems, operate with extreme ownership, and enjoy solving ambiguous, high-impact problems at platform scale.

What You Will Do

1. Platform & System Architecture

• Define and evolve the end-to-end architecture for core platform services that power JazzX’s AI-native enterprise system.
• Own architectural decisions across distributed systems, service orchestration, data flows, and platform extensibility.
• Ensure designs balance scalability, reliability, security, privacy, and operational excellence.
• Drive architectural reviews, RFCs, and long-term technical planning across teams.
• Lead the design of enterprise workflows involving multiple services, teams, and human/system interactions
• Use process modeling techniques (e.g., BPMN or equivalent) to clarify flows, ownership, failure paths, and execution semantics

2. Cloud-Native & Infrastructure Foundations

• Set technical direction for cloud-native architecture across compute, storage, networking, and deployment models.
• Champion cloud-first, cloud-agnostic patterns and infrastructure best practices.
• Guide containerization, orchestration, and Infrastructure-as-Code standards.
• Partner closely with SRE, DevOps, and Security teams to build resilient, observable, and cost-efficient systems.

3. Developer Experience & Platform Enablement

• Design and build foundational APIs, frameworks, and abstractions that enable application and AI engineers to move fast without compromising correctness or safety.
• Establish platform contracts, service boundaries, and internal standards for extensibility and reuse.
• Ensure platform components are modular, composable, and well-documented.
• Act as a force multiplier for engineering velocity across the organization.

4. Operational Excellence & Reliability

• Own production readiness for mission-critical platform components, including availability, latency, scalability, and fault isolation.
• Define and enforce SLAs, SLOs, and reliability standards.
• Drive best practices around observability, distributed tracing, alerting, and incident response.
• Continuously improve operational maturity as the platform scales.

5. Technical Leadership & Organizational Influence

• Serve as a senior technical leader influencing platform direction through execution, not hierarchy.
• Mentor Staff and Senior engineers, raising the bar for systems thinking, design quality, and technical rigor.
• Collaborate deeply with AI research, product, security, and design teams to translate complex requirements into robust platform capabilities.
• Act as a trusted technical advisor to senior engineering and product leadership.

What We’re Looking For

Required Qualifications

• 12+ years of experience designing, building, and operating large-scale, production-grade software systems.
• Proven track record of owning and evolving complex distributed systems or platform architectures.
• Deep expertise in cloud-native systems, service-oriented design, and distributed architectures.
• Strong hands-on experience with containerized environments (Docker, Kubernetes) and modern cloud platforms.
•  

Software Engineering Excellence

• Expert-level understanding of software design principles, clean code practices, and system-level trade-offs.
• Strong proficiency in Python, with deep experience in at least one of: Java -Primary , Go, or JavaScript.
• Demonstrated ownership across the full SDLC: design, implementation, testing, deployment, and operations.
• Ability to make sound architectural decisions under ambiguity and evolving requirements.

Platform, Data & Infrastructure Skills

• Experience with Infrastructure as Code (Terraform, CloudFormation, or equivalent).
• Strong understanding of observability stacks, metrics, logging, and distributed tracing.
• Experience with event-driven systems, streaming platforms (e.g., Kafka), and both SQL and NoSQL databases.
• Familiarity with enterprise security, access control, and compliance considerations.
• Experience designing and implementing cross-system workflows (order processing, onboarding, approvals, etc.)
• Hands-on experience with BPMN-based or workflow-driven systems

AI / ML (Strong Plus)

• Experience building or operating platforms that support AI/ML or data-intensive workloads.
• Exposure to MLOps, AI service deployment, or AI-adjacent infrastructure.
• Experience integrating modern AI systems (LLMs, agents, retrieval, evaluation pipelines) into production platforms is a strong plus.

What Sets You Apart

• You think in platforms and systems, not just services.
• You lead through technical depth, execution, and influence, not authority.
• You are comfortable owning decisions with long-term architectural consequences.
• You care deeply about production quality, reliability, and maintainability.
• You thrive in environments where the platform is still being defined.

Role Overview

The Senior Product Manager – Residential Mortgage is an individual contributor who is customer-facing and focused on supporting the successful market adoption of JazzX’s AI-powered Residential Mortgage application. This role works closely with Product leadership, Sales, and Marketing to help translate product capabilities into clear customer value and effective go-to-market execution.

The Senior Product Manager contributes to product launches, customer engagement, messaging refinement, and field enablement, while serving as a strong conduit for customer and market feedback back into the product organization. This role plays an important role in executing against the Go-To-Market strategy with rigor and clarity.

This position is well-suited for a product manager with solid residential mortgage domain experience who is ready to operate in complex enterprise environments.

Core Responsibilities

Product Go-To-Market Support

• Support product go-to-market execution for JazzX’s Residential Mortgage application in partnership with Product leadership, Sales, and Marketing.
• Assist with launches by helping prepare customer-facing materials, enablement assets, and internal readiness documentation.
• Help ensure new capabilities are introduced with clear use cases, value propositions, and adoption guidance.

Product Messaging & Enablement

• Contribute to the development and refinement of product messaging and positioning.
• Help translate mortgage workflows, compliance requirements, and AI-driven functionality into clear, accurate customer-facing narratives.
• Support creation and maintenance of sales enablement materials such as pitch decks, demo flows, FAQs, and product documentation.

Customer & Market Engagement

• Participate in customer meetings, demos, pilots, and feedback sessions as a product representative.
• Support customer discovery efforts to understand operational pain points, adoption challenges, and feature gaps.
• Capture and synthesize customer feedback to share with Product leadership, Sales, and Marketing.

Launch & Readiness Execution

• Assist in coordinating launch activities across product, engineering, marketing, and field teams.
• Help track launch readiness tasks and follow up on post-launch feedback and adoption signals.
• Support continuous improvement of messaging and enablement based on customer and field input.

Competitive & Market Awareness

• Maintain awareness of competitive mortgage technology solutions and industry trends.
• Help gather and organize competitive insights to support positioning and sales conversations.
• Escalate notable competitive patterns or risks to product leadership.

Qualifications

Experience

• 5–8+ years of experience in product management, product marketing, solutions consulting, or related roles.
• Residential mortgage experience is required, with familiarity across workflows such as origination, underwriting, processing, closing, and post-close.
• Experience working with enterprise customers or supporting complex B2B sales cycles is strongly preferred.

Domain & Technical Acumen

• Solid understanding of residential mortgage processes, terminology, and regulatory considerations.
• Familiarity with enterprise SaaS products and workflow-driven systems.
• Exposure to AI-enabled products is preferred, with the ability to explain capabilities clearly and responsibly.

Skills & Attributes

• Strong written and verbal communication skills.
• Comfortable engaging with customers and internal stakeholders in structured settings.
• Organized, detail-oriented, and able to manage multiple initiatives in parallel.
• Demonstrated ability to learn quickly and operate effectively in evolving environments.

Education

• Bachelor’s degree in Business, Engineering, Computer Science, or a related field required.
• Advanced degree (MBA or equivalent) is a plus.

Role Overview

As a Senior Staff Software Engineer at JazzX AI, you will operate as a principal technical owner of the platform’s most critical architectural foundations. This is a highly hands-on, senior individual contributor role with company-wide technical influence.

You will lead the design and evolution of core platform systems, shape long-term technical strategy, and drive execution across multiple teams and domains. Your work will directly influence:

• The long-term architecture of JazzX’s AI-native SaaS + PaaS platform
• How AI capabilities are safely, reliably, and audibly operationalized at scale
• Platform reliability, performance, security, and developer experience
• Engineering standards, architectural principles, and technical decision-making across the organization

This role is for engineers who think in systems, operate with extreme ownership, and enjoy solving ambiguous, high-impact problems at platform scale.

What You Will Do

1. Platform & System Architecture

• Define and evolve the end-to-end architecture for core platform services that power JazzX’s AI-native enterprise system.
• Own architectural decisions across distributed systems, service orchestration, data flows, and platform extensibility.
• Ensure designs balance scalability, reliability, security, privacy, and operational excellence.
• Drive architectural reviews, RFCs, and long-term technical planning across teams.
• Lead the design of enterprise workflows involving multiple services, teams, and human/system interactions
• Use process modeling techniques (e.g., BPMN or equivalent) to clarify flows, ownership, failure paths, and execution semantics

2. Cloud-Native & Infrastructure Foundations

• Set technical direction for cloud-native architecture across compute, storage, networking, and deployment models.
• Champion cloud-first, cloud-agnostic patterns and infrastructure best practices.
• Guide containerization, orchestration, and Infrastructure-as-Code standards.
• Partner closely with SRE, DevOps, and Security teams to build resilient, observable, and cost-efficient systems.

3. Developer Experience & Platform Enablement

• Design and build foundational APIs, frameworks, and abstractions that enable application and AI engineers to move fast without compromising correctness or safety.
• Establish platform contracts, service boundaries, and internal standards for extensibility and reuse.
• Ensure platform components are modular, composable, and well-documented.
• Act as a force multiplier for engineering velocity across the organization.

4. Operational Excellence & Reliability

• Own production readiness for mission-critical platform components, including availability, latency, scalability, and fault isolation.
• Define and enforce SLAs, SLOs, and reliability standards.
• Drive best practices around observability, distributed tracing, alerting, and incident response.
• Continuously improve operational maturity as the platform scales.

5. Technical Leadership & Organizational Influence

• Serve as a senior technical leader influencing platform direction through execution, not hierarchy.
• Mentor Staff and Senior engineers, raising the bar for systems thinking, design quality, and technical rigor.
• Collaborate deeply with AI research, product, security, and design teams to translate complex requirements into robust platform capabilities.
• Act as a trusted technical advisor to senior engineering and product leadership.

What We’re Looking For

Required Qualifications

• 12+ years of experience designing, building, and operating large-scale, production-grade software systems.
• Proven track record of owning and evolving complex distributed systems or platform architectures.
• Deep expertise in cloud-native systems, service-oriented design, and distributed architectures.
• Strong hands-on experience with containerized environments (Docker, Kubernetes) and modern cloud platforms.
•  

Software Engineering Excellence

• Expert-level understanding of software design principles, clean code practices, and system-level trade-offs.
• Strong proficiency in Python, with deep experience in at least one of: Java -Primary , Go, or JavaScript.
• Demonstrated ownership across the full SDLC: design, implementation, testing, deployment, and operations.
• Ability to make sound architectural decisions under ambiguity and evolving requirements.

Platform, Data & Infrastructure Skills

• Experience with Infrastructure as Code (Terraform, CloudFormation, or equivalent).
• Strong understanding of observability stacks, metrics, logging, and distributed tracing.
• Experience with event-driven systems, streaming platforms (e.g., Kafka), and both SQL and NoSQL databases.
• Familiarity with enterprise security, access control, and compliance considerations.
• Experience designing and implementing cross-system workflows (order processing, onboarding, approvals, etc.)
• Hands-on experience with BPMN-based or workflow-driven systems

AI / ML (Strong Plus)

• Experience building or operating platforms that support AI/ML or data-intensive workloads.
• Exposure to MLOps, AI service deployment, or AI-adjacent infrastructure.
• Experience integrating modern AI systems (LLMs, agents, retrieval, evaluation pipelines) into production platforms is a strong plus.

What Sets You Apart

• You think in platforms and systems, not just services.
• You lead through technical depth, execution, and influence, not authority.
• You are comfortable owning decisions with long-term architectural consequences.
• You care deeply about production quality, reliability, and maintainability.
• You thrive in environments where the platform is still being defined.

Solution Engineer / Senior Solution Engineer - Python Development

Location: Bengaluru, Karnataka (Hybrid)

Experience: 4–8 years

Role Overview

As a Solution Engineer / Senior Solution Engineer, you are a hands-on software engineer who contributes directly to customer-facing solutions built on JazzX’s AGI platform.

You will work as part of a delivery pod, partnering closely with Staff and Senior engineers to design, build, and deploy production-grade systems for enterprise customers. This role is ideal for engineers who enjoy solving real-world problems, working with customers, and applying GenAI capabilities in practical, production environments.

This is a delivery-focused role that blends strong software engineering fundamentals with applied AI and customer collaboration.

You will:

• Contribute to the design and implementation of customer-facing solutions.
• Build and enhance backend services, integrations, and workflows using JazzX’s platform.
• Apply GenAI and LLM-based capabilities as part of reliable, scalable systems.
• Work closely with customer teams under the guidance of senior technical leads.
• Participate in troubleshooting, debugging, and improving deployed systems.
• Learn and grow toward broader technical ownership and leadership.

Key Responsibilities

Hands-On Software Engineering

• Write and maintain production-quality code across backend services, APIs, and orchestration layers.
• Implement integrations with multiple third-party systems using RESTful APIs and service interfaces.
• Contribute to system design discussions and follow established architectural patterns.
• Ensure features meet quality standards for reliability, performance, and maintainability.

Applied GenAI & Agentic Systems

• Implement LLM-powered features such as agent workflows, reasoning steps, and tool interactions.
• Work with prompts, tool interfaces, and control logic to support agentic behavior.
• Help evaluate agent behavior using real-world signals such as correctness, latency, and cost.
• Collaborate with senior engineers to adopt and extend GenAI frameworks and patterns.

Customer Delivery & Collaboration

• Support technical execution for customer POCs, pilots, and production deployments.
• Work with customer engineering and IT teams to integrate JazzX into existing systems.
• Assist in diagnosing and resolving integration, data, and system issues.
• Communicate clearly with internal and external stakeholders on technical progress and issues.

Qualifications

Must-Have

• 4–8 years of professional software engineering experience building and supporting production systems.
• Strong proficiency in Python (or Java / Go) with experience writing clean, maintainable code.
• Experience building backend services, APIs, and system integrations.
• Exposure to GenAI or LLM-based systems in practical applications (e.g., agent workflows, LLM-backed services, RAG-style solutions).
• Experience working on customer-facing or delivery-oriented engineering projects.
• Solid understanding of software quality, testing, and operational best practices.
• Good communication skills and ability to collaborate across engineering, product, and customer teams.
• Willingness to travel up to 20% for customer engagements, as needed.

Nice-to-Have

• Experience working in regulated or policy-heavy domains (e.g., finance, lending, healthcare).
• Familiarity with vector databases, semantic search, or knowledge retrieval systems.
• Exposure to agent frameworks or orchestration tools (e.g., LangChain, LlamaIndex, AutoGen).
• Experience working in a startup or fast-moving product environment.

Attributes We Value

• Hands-On Mindset: You enjoy building, debugging, and improving real systems.
• Engineering Discipline: You care about code quality, reliability, and maintainability.
• Customer Awareness: You understand that real-world constraints shape good solutions.
• Ownership Mentality: You take responsibility for your work and follow through.
• Growth Orientation: You are eager to learn, take feedback, and grow into broader responsibility.

Solution Engineer / Senior Solution Engineer - Python

Location: Bengaluru, Karnataka (Hybrid)

Experience: 4–8 years

Role Overview

As a Solution Engineer / Senior Solution Engineer, you are a hands-on software engineer who contributes directly to customer-facing solutions built on JazzX’s AGI platform.

You will work as part of a delivery pod, partnering closely with Staff and Senior engineers to design, build, and deploy production-grade systems for enterprise customers. This role is ideal for engineers who enjoy solving real-world problems, working with customers, and applying GenAI capabilities in practical, production environments.

This is a delivery-focused role that blends strong software engineering fundamentals with applied AI and customer collaboration.

You will:

• Contribute to the design and implementation of customer-facing solutions.
• Build and enhance backend services, integrations, and workflows using JazzX’s platform.
• Apply GenAI and LLM-based capabilities as part of reliable, scalable systems.
• Work closely with customer teams under the guidance of senior technical leads.
• Participate in troubleshooting, debugging, and improving deployed systems.
• Learn and grow toward broader technical ownership and leadership.

Key Responsibilities

Hands-On Software Engineering

• Write and maintain production-quality code across backend services, APIs, and orchestration layers.
• Implement integrations with multiple third-party systems using RESTful APIs and service interfaces.
• Contribute to system design discussions and follow established architectural patterns.
• Ensure features meet quality standards for reliability, performance, and maintainability.

Applied GenAI & Agentic Systems

• Implement LLM-powered features such as agent workflows, reasoning steps, and tool interactions.
• Work with prompts, tool interfaces, and control logic to support agentic behavior.
• Help evaluate agent behavior using real-world signals such as correctness, latency, and cost.
• Collaborate with senior engineers to adopt and extend GenAI frameworks and patterns.

Customer Delivery & Collaboration

• Support technical execution for customer POCs, pilots, and production deployments.
• Work with customer engineering and IT teams to integrate JazzX into existing systems.
• Assist in diagnosing and resolving integration, data, and system issues.
• Communicate clearly with internal and external stakeholders on technical progress and issues.

Qualifications

Must-Have

• 4–8 years of professional software engineering experience building and supporting production systems.
• Strong proficiency in Python (or Java / Go) with experience writing clean, maintainable code.
• Experience building backend services, APIs, and system integrations.
• Exposure to GenAI or LLM-based systems in practical applications (e.g., agent workflows, LLM-backed services, RAG-style solutions).
• Experience working on customer-facing or delivery-oriented engineering projects.
• Solid understanding of software quality, testing, and operational best practices.
• Good communication skills and ability to collaborate across engineering, product, and customer teams.
• Willingness to travel up to 20% for customer engagements, as needed.

Nice-to-Have

• Experience working in regulated or policy-heavy domains (e.g., finance, lending, healthcare).
• Familiarity with vector databases, semantic search, or knowledge retrieval systems.
• Exposure to agent frameworks or orchestration tools (e.g., LangChain, LlamaIndex, AutoGen).
• Experience working in a startup or fast-moving product environment.

Attributes We Value

• Hands-On Mindset: You enjoy building, debugging, and improving real systems.
• Engineering Discipline: You care about code quality, reliability, and maintainability.
• Customer Awareness: You understand that real-world constraints shape good solutions.
• Ownership Mentality: You take responsibility for your work and follow through.
• Growth Orientation: You are eager to learn, take feedback, and grow into broader responsibility.

Solution Engineer / Senior Solution Engineer - Python

Location: Bengaluru, Karnataka (Hybrid)

Experience: 4–8 years

Role Overview

As a Solution Engineer / Senior Solution Engineer, you are a hands-on software engineer who contributes directly to customer-facing solutions built on JazzX’s AGI platform.

You will work as part of a delivery pod, partnering closely with Staff and Senior engineers to design, build, and deploy production-grade systems for enterprise customers. This role is ideal for engineers who enjoy solving real-world problems, working with customers, and applying GenAI capabilities in practical, production environments.

This is a delivery-focused role that blends strong software engineering fundamentals with applied AI and customer collaboration.

You will:

• Contribute to the design and implementation of customer-facing solutions.
• Build and enhance backend services, integrations, and workflows using JazzX’s platform.
• Apply GenAI and LLM-based capabilities as part of reliable, scalable systems.
• Work closely with customer teams under the guidance of senior technical leads.
• Participate in troubleshooting, debugging, and improving deployed systems.
• Learn and grow toward broader technical ownership and leadership.

Key Responsibilities

Hands-On Software Engineering

• Write and maintain production-quality code across backend services, APIs, and orchestration layers.
• Implement integrations with multiple third-party systems using RESTful APIs and service interfaces.
• Contribute to system design discussions and follow established architectural patterns.
• Ensure features meet quality standards for reliability, performance, and maintainability.

Applied GenAI & Agentic Systems

• Implement LLM-powered features such as agent workflows, reasoning steps, and tool interactions.
• Work with prompts, tool interfaces, and control logic to support agentic behavior.
• Help evaluate agent behavior using real-world signals such as correctness, latency, and cost.
• Collaborate with senior engineers to adopt and extend GenAI frameworks and patterns.

Customer Delivery & Collaboration

• Support technical execution for customer POCs, pilots, and production deployments.
• Work with customer engineering and IT teams to integrate JazzX into existing systems.
• Assist in diagnosing and resolving integration, data, and system issues.
• Communicate clearly with internal and external stakeholders on technical progress and issues.

Qualifications

Must-Have

• 4–8 years of professional software engineering experience building and supporting production systems.
• Strong proficiency in Python (or Java / Go) with experience writing clean, maintainable code.
• Experience building backend services, APIs, and system integrations.
• Exposure to GenAI or LLM-based systems in practical applications (e.g., agent workflows, LLM-backed services, RAG-style solutions).
• Experience working on customer-facing or delivery-oriented engineering projects.
• Solid understanding of software quality, testing, and operational best practices.
• Good communication skills and ability to collaborate across engineering, product, and customer teams.
• Willingness to travel up to 20% for customer engagements, as needed.

Nice-to-Have

• Experience working in regulated or policy-heavy domains (e.g., finance, lending, healthcare).
• Familiarity with vector databases, semantic search, or knowledge retrieval systems.
• Exposure to agent frameworks or orchestration tools (e.g., LangChain, LlamaIndex, AutoGen).
• Experience working in a startup or fast-moving product environment.

Attributes We Value

• Hands-On Mindset: You enjoy building, debugging, and improving real systems.
• Engineering Discipline: You care about code quality, reliability, and maintainability.
• Customer Awareness: You understand that real-world constraints shape good solutions.
• Ownership Mentality: You take responsibility for your work and follow through.
• Growth Orientation: You are eager to learn, take feedback, and grow into broader responsibility.

Solution Engineer / Senior Solution Engineer - Python

Location: Bengaluru, Karnataka (Hybrid)

Experience: 4–8 years

Role Overview

As a Solution Engineer / Senior Solution Engineer, you are a hands-on software engineer who contributes directly to customer-facing solutions built on JazzX’s AGI platform.

You will work as part of a delivery pod, partnering closely with Staff and Senior engineers to design, build, and deploy production-grade systems for enterprise customers. This role is ideal for engineers who enjoy solving real-world problems, working with customers, and applying GenAI capabilities in practical, production environments.

This is a delivery-focused role that blends strong software engineering fundamentals with applied AI and customer collaboration.

You will:

• Contribute to the design and implementation of customer-facing solutions.
• Build and enhance backend services, integrations, and workflows using JazzX’s platform.
• Apply GenAI and LLM-based capabilities as part of reliable, scalable systems.
• Work closely with customer teams under the guidance of senior technical leads.
• Participate in troubleshooting, debugging, and improving deployed systems.
• Learn and grow toward broader technical ownership and leadership.

Key Responsibilities

Hands-On Software Engineering

• Write and maintain production-quality code across backend services, APIs, and orchestration layers.
• Implement integrations with multiple third-party systems using RESTful APIs and service interfaces.
• Contribute to system design discussions and follow established architectural patterns.
• Ensure features meet quality standards for reliability, performance, and maintainability.

Applied GenAI & Agentic Systems

• Implement LLM-powered features such as agent workflows, reasoning steps, and tool interactions.
• Work with prompts, tool interfaces, and control logic to support agentic behavior.
• Help evaluate agent behavior using real-world signals such as correctness, latency, and cost.
• Collaborate with senior engineers to adopt and extend GenAI frameworks and patterns.

Customer Delivery & Collaboration

• Support technical execution for customer POCs, pilots, and production deployments.
• Work with customer engineering and IT teams to integrate JazzX into existing systems.
• Assist in diagnosing and resolving integration, data, and system issues.
• Communicate clearly with internal and external stakeholders on technical progress and issues.

Qualifications

Must-Have

• 4–8 years of professional software engineering experience building and supporting production systems.
• Strong proficiency in Python (or Java / Go) with experience writing clean, maintainable code.
• Experience building backend services, APIs, and system integrations.
• Exposure to GenAI or LLM-based systems in practical applications (e.g., agent workflows, LLM-backed services, RAG-style solutions).
• Experience working on customer-facing or delivery-oriented engineering projects.
• Solid understanding of software quality, testing, and operational best practices.
• Good communication skills and ability to collaborate across engineering, product, and customer teams.
• Willingness to travel up to 20% for customer engagements, as needed.

Nice-to-Have

• Experience working in regulated or policy-heavy domains (e.g., finance, lending, healthcare).
• Familiarity with vector databases, semantic search, or knowledge retrieval systems.
• Exposure to agent frameworks or orchestration tools (e.g., LangChain, LlamaIndex, AutoGen).
• Experience working in a startup or fast-moving product environment.

Attributes We Value

• Hands-On Mindset: You enjoy building, debugging, and improving real systems.
• Engineering Discipline: You care about code quality, reliability, and maintainability.
• Customer Awareness: You understand that real-world constraints shape good solutions.
• Ownership Mentality: You take responsibility for your work and follow through.
• Growth Orientation: You are eager to learn, take feedback, and grow into broader responsibility.

Solution Engineer / Senior Solution Engineer - Python

Location: Bengaluru, Karnataka (Hybrid)

Experience: 4–8 years

Role Overview

As a Solution Engineer / Senior Solution Engineer, you are a hands-on software engineer who contributes directly to customer-facing solutions built on JazzX’s AGI platform.

You will work as part of a delivery pod, partnering closely with Staff and Senior engineers to design, build, and deploy production-grade systems for enterprise customers. This role is ideal for engineers who enjoy solving real-world problems, working with customers, and applying GenAI capabilities in practical, production environments.

This is a delivery-focused role that blends strong software engineering fundamentals with applied AI and customer collaboration.

You will:

• Contribute to the design and implementation of customer-facing solutions.
• Build and enhance backend services, integrations, and workflows using JazzX’s platform.
• Apply GenAI and LLM-based capabilities as part of reliable, scalable systems.
• Work closely with customer teams under the guidance of senior technical leads.
• Participate in troubleshooting, debugging, and improving deployed systems.
• Learn and grow toward broader technical ownership and leadership.

Key Responsibilities

Hands-On Software Engineering

• Write and maintain production-quality code across backend services, APIs, and orchestration layers.
• Implement integrations with multiple third-party systems using RESTful APIs and service interfaces.
• Contribute to system design discussions and follow established architectural patterns.
• Ensure features meet quality standards for reliability, performance, and maintainability.

Applied GenAI & Agentic Systems

• Implement LLM-powered features such as agent workflows, reasoning steps, and tool interactions.
• Work with prompts, tool interfaces, and control logic to support agentic behavior.
• Help evaluate agent behavior using real-world signals such as correctness, latency, and cost.
• Collaborate with senior engineers to adopt and extend GenAI frameworks and patterns.

Customer Delivery & Collaboration

• Support technical execution for customer POCs, pilots, and production deployments.
• Work with customer engineering and IT teams to integrate JazzX into existing systems.
• Assist in diagnosing and resolving integration, data, and system issues.
• Communicate clearly with internal and external stakeholders on technical progress and issues.

Qualifications

Must-Have

• 4–8 years of professional software engineering experience building and supporting production systems.
• Strong proficiency in Python (or Java / Go) with experience writing clean, maintainable code.
• Experience building backend services, APIs, and system integrations.
• Exposure to GenAI or LLM-based systems in practical applications (e.g., agent workflows, LLM-backed services, RAG-style solutions).
• Experience working on customer-facing or delivery-oriented engineering projects.
• Solid understanding of software quality, testing, and operational best practices.
• Good communication skills and ability to collaborate across engineering, product, and customer teams.
• Willingness to travel up to 20% for customer engagements, as needed.

Nice-to-Have

• Experience working in regulated or policy-heavy domains (e.g., finance, lending, healthcare).
• Familiarity with vector databases, semantic search, or knowledge retrieval systems.
• Exposure to agent frameworks or orchestration tools (e.g., LangChain, LlamaIndex, AutoGen).
• Experience working in a startup or fast-moving product environment.

Attributes We Value

• Hands-On Mindset: You enjoy building, debugging, and improving real systems.
• Engineering Discipline: You care about code quality, reliability, and maintainability.
• Customer Awareness: You understand that real-world constraints shape good solutions.
• Ownership Mentality: You take responsibility for your work and follow through.
• Growth Orientation: You are eager to learn, take feedback, and grow into broader responsibility.

About SAI Group

SAI Group is a private investment firm that has committed $1 billion to incubate and scale revolutionary AI-powered enterprise software application companies. Our portfolio, a testament to our success, comprises rapidly growing AI companies that collectively cater to over 2,000+ major global customers, approaching $750 million in annual revenue, and employing a global workforce of over 4,000 individuals.

SAI Group invests in new ventures based on breakthrough AI-based products that have the potential to disrupt existing enterprise software markets. SAI Group’s latest investment, JazzX, is a pioneering technology company which is building a platform that will not only shape the future of enterprise AI applications but also offer practical solutions to real-world challenges.

Senior Software Engineer, JazzX (New AI Venture at SAI Group) 

Role Overview:  

As a Senior Software Development Engineer, you'll lead the design, development, and management of critical services and components of an innovative enterprise AI platform to deliver transformative, AI-enabled work experiences for enterprise users. You'll mentor junior engineers, collaborate with cross-functional teams, and drive towards building a cutting-edge enterprise AI platform that remains state of the art.  

Design and Build: 

• Craft and develop high-performance, scalable services and components for our enterprise AI platform using a cloud-first, cloud-agnostic approach with world class AI capabilities, scalability, security, privacy and operability.
• Champion innovative AI and software design patterns and best practices to ensure code maintainability, reusability, and testability.
• Contribute to the platform's technical direction by staying up to date on emerging AI technologies, cloud design patterns and user experience methodologies. 

Collaboration: 

• Work collaboratively within a cross-functional team (AI/research engineers, software engineers, architects, product managers, designers) to translate complex platform and product requirements into well-defined, scalable, and modular AI, software and infrastructure components.
• Foster a collaborative and inclusive environment by effectively communicating technical concepts and design decisions across diverse audiences.
• Provide mentorship and guidance to junior engineers, fostering their growth and development. 

Operational Excellence: 

• Own the seamless integration of developed components into the platform, ensuring efficient operation and high availability.
• Implement robust monitoring and alerting strategies to proactively identify and troubleshoot potential issues.
• Champion DevOps practices streamlining the software development lifecycle and delivery process. 

Requirements 

Experience:  

• Minimum of 5 years in designing, building, and operating cloud services, with proficiency in container and orchestration frameworks such as Docker and Kubernetes. Experience with common software defined infrastructure (infrastructure-as-code) frameworks to deploy and manage cloud environments. AI/ML/Data experience is strongly preferred. 

 Development Lifecycle:  

• Comprehensive hands-on experience in the full-stack development lifecycle, including design, prototyping, building, testing, deployment, and operations of enterprise platforms and products, preferably with AI/ML/data components. 

 Technical Skills:  

• Deep knowledge of essential software development skills and experience in more than 1 of the following languages: Java, JavaScript, Python, Golang, or C++.
• AI/ML Experience (Strongly Preferred): Prior experience in building and managing ML/AI platforms and services, including familiarity with MLOps lifecycle, frameworks, and tools. Familiarity with modern GenAI/LLM services, AI agent frameworks like LangChain, LlamaIndex is highly desired.  
• Growth Mindset: A naturally curious attitude with a proactive approach to learning, experimenting, building, operating, and improving the development of a cutting-edge intelligent platform. Flexible, learn-it-all attitude, encouraging sharing and collaborative growth in an intense and fun work environment. 

Why Join Us 

At JazzX AI, you have the opportunity to become an integral part of a pioneering team that is pushing the envelope of AI capabilities to create an autonomous intelligence driven future. We champion bold innovation, continuous learning, and embrace the challenges and rewards of crafting something genuinely groundbreaking.

Your work will directly contribute to pioneering solutions that have the potential to transform industries and redefine how we interact with technology. As an early member of our team, your voice will be pivotal in steering the direction of our projects and culture, offering a unique chance to leave your mark on the future of AI.

We offer a competitive salary, equity options, and an attractive benefits package, including health, dental, and vision insurance, flexible working arrangements, and more.

We are an equal opportunity employer and celebrate diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Senior Staff Engineer

As a Senior Staff Engineer at JazzX AI, you will operate as a strategic technical leader—driving platform architecture, guiding critical projects, and influencing product direction.  You will serve as a hands-on contributor, provide technical mentorship across teams, and partner with senior stakeholders to ensure our solutions are innovative, robust, and aligned with the company’s long-term vision. You will also be instrumental in fostering a high-performance engineering culture that emphasizes collaboration, excellence, and continuous improvement. 

Key Responsibilities 

Technical Leadership & Architecture 

• Define and evolve JazzX.ai’s technical strategy, ensuring our AI-driven systems can scale and adapt to future challenges.
• Own the end-to-end architecture for key platform components, ensuring high levels of reliability, security, and performance.
• Evaluate emerging technologies, tools, and frameworks, making data-driven recommendations that influence company-wide engineering decisions. 

Project Execution & Cross-Functional Collaboration 

• Lead complex, high-impact engineering initiatives that require coordination across multiple product and infrastructure teams.
• Collaborate with Product Management, AI research engineering, , and UX to scope technical requirements and deliver solutions that align with business objectives.
• Serve as a trusted advisor to senior stakeholders, clearly communicating technical roadmaps, trade-offs, and risks. 

Mentorship & Team Development 

• Guide and mentor engineers at all levels, from early-career to senior staff, providing technical direction and career development support.
• Champion best practices in code quality, architecture reviews, testing, and documentation.
• Foster an inclusive and innovative engineering culture, encouraging knowledge-sharing and continuous learning. 

Innovation & AI Integration 

• Partner with the AI research engineering team team to design and implement modern AI frameworks and capabilities  as production services in the platform
• Drive the exploration and adoption of state-of-the-art AI/ML technologies to keep JazzX.ai ahead of industry trends.
• Identify strategic opportunities where AI can deliver enhanced functionality or novel capabilities for our platform. 

Operational Excellence 

• Define and enforce SLAs for mission-critical services, ensuring minimal downtime and fast recovery.
• Champion DevOps best practices around CI/CD, cloud infrastructure, observability, and security.
• Collaborate with Site Reliability Engineers (SREs) and Security teams to optimize performance and maintain compliance with industry standards. 

 Qualifications 

Educational Background 

• Bachelor’s or Master’s in Computer Science, Engineering, or a related field; or equivalent experience. 

Experience & Technical Expertise 

• 10–12+ years of professional software engineering experience, with at least 5 years in technical leadership roles (Principal, Staff, or equivalent).
• Proven track record leading complex, large-scale projects across distributed systems, backend architecture, or cloud platforms.
• Deep expertise in at least one or more programming languages (e.g., Python, Java, Javascript, Go,  C++), with a willingness to learn new technologies.
• Strong understanding of microservices, event-driven architectures, and container orchestration tools (Kubernetes, Docker).
• Experience with large-scale data processing, streaming platforms (e.g., Kafka), and databases (both SQL and NoSQL).
• Familiarity with AI/ML frameworks (TensorFlow, PyTorch) and operationalizing machine learning solutions is a plus. 

AI/ML Experience: 

• Demonstrated experience in designing, building, deploying, and managing Machine Learning (ML) and Artificial Intelligence (AI) platforms and services. Hands on experience with MLOps practices, frameworks (TensorFlow, PyTorch), and tools. 
• Experience building platforms and applications with modern LLMs and AI agent frameworks like LangChain, LlamaIndex , AutoGen etc. is a strong plus 

Leadership & Soft Skills 

• Exceptional communication and presentation skills, with the ability to influence technical and non-technical stakeholders at executive levels.
• Proven ability to mentor, coach, and inspire engineers, build high-performing teams and a culture of engineering excellence.
• Experience navigating ambiguous requirements and delivering results in a fast-paced, startup environment.
• Demonstrated thought leadership in architectural design, code quality, and technical strategy. 

Staff AI Research Engineer

Location: Bengaluru - India (Hybrid)

Experience: 10+ years

Function: Applied AI / Generative AI Platforms & Applications

About SAI Group

SAI Group is a private investment firm that has committed $1 billion to incubate and scale revolutionary AI-powered enterprise software companies. Our portfolio includes rapidly growing AI businesses serving 2,000+ global enterprise customers, approaching $800M in annual revenue, and supported by a global workforce of 4,000+ employees.

SAI Group invests in companies building breakthrough AI-native products with the potential to disrupt established enterprise software markets.

JazzX AI, SAI Group’s latest investment, is building an end-to-end AI-native SaaS + PaaS ecosystem that enables enterprises to build, deploy, and operate intelligent applications at scale.

About JazzX AI

JazzX AI delivers value across the full AI application lifecycle:

1. Next-Generation Enterprise AI Platform

   A robust, production-grade AI platform that orchestrates foundation models, reasoning systems, agents, retrieval, evaluation, and guardrails—designed for reliability, safety, and scale.

2. AI Builder Studio (Low-Code / No-Code)

   A cutting-edge Builder Studio that allows developers and non-developers alike to design, compose, and deploy AI-powered applications and workflows using visual and declarative abstractions.

3. First-Party Enterprise Applications

   A suite of customer-facing enterprise applications built on the same platform and Builder Studio, ensuring dogfooding, rapid iteration, and real-world validation at scale.

Together, this creates a tightly integrated SaaS + PaaS offering, where platform capabilities, tooling, and applications evolve in lockstep. We are starting with residential lending, a domain defined by deep due diligence, complex policies, and expert judgment, and are building a horizontal platform that will power intelligent applications across multiple knowledge-intensive industries.

Role Overview

As a Staff AI Research Engineer, you will play a pivotal role in shaping the core AI platform, the Builder Studio abstractions, and the AI capabilities powering JazzX’s enterprise applications.

This is a hands-on Staff-level individual contributor role. You will work across platform, tooling, and applications—designing and validating how foundation models, reasoning systems, and agentic workflows can be safely, reliably, and intuitively consumed by both engineers and non-technical users.

Your work will directly influence:

• How AI systems are composed and deployed via low-code / no-code interfaces
• How customer-facing AI applications behave in production
• How JazzX balances power, safety, observability, and usability across its SaaS and PaaS offerings

What You Will Do

1. Applied AI Research & Experimentation

• Explore and evaluate foundation models, reasoning models, multimodal models, and agentic workflows for enterprise use cases.
• Design experiments to understand model capabilities, limits, failure modes, and trade-offs.
• Assess how advanced AI techniques (RAG, dynamic prompting, RL, knowledge graphs, ontologies) can be abstracted safely into a Builder Studio experience.

2. Platform & System Architecture

• Design core AI platform components for:
  • Model orchestration and routing
  • Agent execution and state management
  • Context, memory, and retrieval pipelines
  • Evaluation, observability, and guardrails
• Define architectural patterns that work across platform APIs, low-code builders, and end-user applications.

3. Builder Studio Enablement (Low-Code / No-Code)

• Help design declarative abstractions and primitives that allow AI workflows to be composed visually or via configuration.
• Ensure that low-code experiences do not compromise correctness, safety, or performance.
• Work closely with UX, product, and platform teams to translate complex AI systems into intuitive building blocks.

4. First-Party Application Development

• Collaborate on building and evolving customer-facing enterprise AI applications using the JazzX platform and Builder Studio.
• Use these applications as real-world feedback loops to validate platform design decisions.
• Drive a strong dogfooding culture, ensuring the platform is battle-tested at scale.

5. Evaluation, Reliability & Safety

• Design and implement evaluation pipelines to continuously measure system quality.
• Develop strategies for hallucination mitigation, grounding, human-in-the-loop workflows, and deterministic guardrails.
• Ensure AI systems behave predictably in enterprise environments with high trust requirements.

6. Technical Leadership & Influence

• Serve as a Staff-level technical leader, influencing architecture and long-term platform direction.
• Mentor engineers and scientists on applied AI system design and AI-native engineering practices.
• Contribute to technical standards, RFCs, and cross-team architectural decisions.

What We’re Looking For

Required Qualifications

• 10+ years of experience in applied AI, AI engineering, or AI-driven platform development.
• Strong hands-on experience building production-grade AI systems, not just prototypes or demos.
• Expert-level proficiency in Python, with a deep understanding of its ecosystem for building, scaling, and deploying production-grade AI services and orchestration layers.
• Deep experience working with AI foundation models (LLMs, reasoning models, multimodal models).
• Solid understanding of AI agents, orchestration frameworks, and evaluation methodologies.
• Experience with frameworks such as OpenAI SDK, LangChain, AutoGen, CrewAI, or equivalent.
• Knowledge of or experience with reinforcement learning, ontologies, knowledge graphs, or hybrid AI approaches.
• Preferred - Ph.D. or MS in Computer Science, AI, or a related field.
• Strong analytical and systems-thinking skills.

What Sets You Apart

• You enjoy working across layers—from models to platforms to end-user applications.
• You can translate cutting-edge AI capabilities into safe, usable, and scalable abstractions.
• You thrive in ambiguous environments and can define both the problem and the solution.
• You lead through technical influence and execution, not hierarchy.
• You care deeply about production readiness, reliability, and user trust.

Role Overview:  

As a Research Engineer, you will be instrumental in exploring and establishing best practices for leveraging and extending novel Generative AI based technologies to develop groundbreaking solutions for enterprise use cases. This role offers a unique opportunity to delve into the rapidly evolving world of foundation models, AI agents, reasoning models etc. and contribute to the design and development of an innovative enterprise AI platform to deliver transformative, AI-enabled work experiences for enterprise users. 

What You Will Do 

Experimentation and Research: Systematically explore various technologies and strategies such as foundation models, agentic workflows, ontology and knowledge graphs, reinforcement learning, dynamic prompting, retrieval augmented generation, and collaborative problem solving to enhance our understanding and utilization of foundation models and related Generative AI frameworks. You will design and conduct experiments to probe the limits and capabilities of different foundation models, frameworks and their application strategies. 

Development and Analysis: Design experiments to understand the capabilities and limits of foundation models. Build tools necessary for conducting experiments, run these experiments, and meticulously analyze the results. Build on the quantitative and qualitative findings from these experiments to design future experiments and shape the architecture of our enterprise AGI platform. 

Prototyping and Innovation: Take charge of developing and refining prototypes for our platform. Your innovative approach will contribute to evolving our enterprise AGI platform in line with the latest advancements and insights gained from research activities. 

Requirements 

• Proven hands-on experience prototyping advanced deep technologies in AI/ML and shaping the evolution of platforms, products and user experiences. 
• Hands-on experience working with AI foundation models (LLMs, reasoning models etc.) to craft real-world applications.
• Comprehensive knowledge of the emerging AI ecosystem, including foundation model ecosystem (public and private models), agent frameworks, and tools.
• Experience with AI Agent frameworks such as LangChain, AutoGen, CrewAI, or similar technologies.
• Knowledge and/or experience with technologies like reinforcement learning and/or technologies like ontologies, knowledge graphs etc.  
• Ph.D/MS in AI/CS or related fields with a strong focus on AI/ML technologies.  
• At least 8 years of work experience in an applied AI science or AI engineering role within a science-driven product development context.
• Strong quantitative and qualitative analytical skills.
• A naturally curious mindset with a proactive approach to learning, experimenting, building, and prototyping.
• Eagerness to lead and influence the development of cutting-edge intelligent platforms. 

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. 

Staff Solutions Engineer 
Location: Bengaluru, Karnataka (Hybrid) 

Role Overview 

As a Staff Solutions Engineer, you are a hands-on software engineer who leads customer engagements from a technical pod while remaining deeply involved in design and implementation. 

You will own the technical success of customer deployments built on JazzX’s AGI platform—leading architecture, implementation, and delivery while working directly with enterprise customers. This role is designed for engineers who enjoy building real systems, guiding other engineers, and taking accountability for outcomes in complex customer environments. 

It is a delivery-focused engineering leadership role that combines deep technical execution with customer-facing ownership. 

You will: 

• Lead customer engagements as the technical owner for a delivery pod. 

• Design and implement production-grade enterprise systems using JazzX’s platform. 

• Apply GenAI and LLM-based capabilities (e.g., RAG, agent workflows) as part of scalable, reliable solutions. 

• Partner with product, platform, and research teams across the full solution lifecycle. 

• Act as the primary technical escalation point for customer deployments. 

• Influence platform evolution by feeding real-world learnings back into reusable components and patterns. 

• Set a high engineering bar through hands-on contribution, design leadership, and mentorship. 

Key Responsibilities 

Hands-On Software Engineering 

• Write and review production-quality code across backend services, APIs, and orchestration layers. 

• Make architectural decisions balancing scalability, performance, security, and long-term maintainability. 

• Design and build robust integrations with multiple third-party systems using RESTful APIs, event-driven interfaces, and data pipelines in complex enterprise environments. 

• Ensure solutions meet production standards for reliability, observability, and operational readiness. 

Applied GenAI & Agentic Systems 

• Apply a strong understanding of LLM behavior, capabilities, and limitations to design reliable, production-ready systems. 

• Build and orchestrate agentic workflows that coordinate multiple steps, tools, and decision points to achieve complex goals. 

• Design prompt strategies, tool interfaces, and control flows that enable agents to reason, act, and recover from failures. 

• Integrate LLMs into larger software systems with clear boundaries, guardrails, and observability. 

• Evaluate and iterate on agent behavior using real-world signals such as correctness, latency, cost, and user outcomes. 

• Collaborate with platform and research teams to validate emerging agent frameworks and reasoning approaches in customer environments. 

Customer Delivery Leadership 

• Lead technical execution for customer POCs, pilots, and production rollouts. 

• Work closely with customer engineering and IT teams to integrate JazzX into existing enterprise ecosystems. 

• Troubleshoot complex integration, data, and system issues, owning resolution end-to-end. 

Staff-Level Impact 

• Lead and mentor engineers within the delivery pod, providing technical direction and feedback. 

• Establish and reinforce best practices for customer-facing engineering. 

• Turn customer insights into reusable architectures, templates, and delivery standards. 

Qualifications 

Must-Have 

• 9+ years of professional software engineering experience building and operating production systems. 

• Strong proficiency in Python with a proven track record of writing maintainable, well-tested code. 

• Experience designing and building backend services, APIs, and distributed systems. 

• Practical experience applying GenAI or LLM-based systems in real-world applications (e.g., RAG pipelines, agent workflows, LLM-backed services). 

• Experience leading or owning technical delivery for customer-facing projects. 

• Strong understanding of system reliability, observability, and operational best practices. 

• Excellent communication skills and ability to collaborate with engineering, product, and customer stakeholders. 

• Willingness to travel up to 20% for key customer engagements. 

Nice-to-Have 

• Experience delivering software in regulated or policy-heavy domains (e.g., finance, lending, healthcare, insurance). 

• Familiarity with vector databases, semantic search, or knowledge retrieval systems. 

• Experience contributing to shared libraries, internal platforms, or reusable engineering components. 

• Prior experience in a fast-paced startup or early-stage product environment. 

Attributes We Value 

• Hands-On Leadership: You lead by building, reviewing, and guiding—not by delegating everything. 

• Engineering Excellence: You care deeply about correctness, reliability, and long-term maintainability. 

• Customer Empathy: You understand enterprise constraints and design systems accordingly. 

• Ownership & Accountability: You take responsibility for outcomes, not just tasks. 

• Collaboration & Mentorship: You raise the bar for those around you. 

Staff Software Development Engineer  

As a Staff Software Development Engineer at JazzX AI, you'll define the technical vision for our enterprise AI platform, mentor senior engineers, and oversee the design, development, and deployment of critical AI, software and infra services and components.  You'll be responsible for ensuring the platform's scalability, reliability, security and observability. 

What You Will Do 

Design and Architect Scalable Solutions: 

• Lead the design and development of high-performance, scalable services and components for our enterprise AI platform using a cloud-first, cloud-agnostic approach with world class AI capabilities, scalability, security, privacy and operability.
• Champion a cloud-first, cloud-agnostic approach to ensure platform versatility, scalability, and future-proof architecture.
• Champion innovative AI and software design patterns and best practices to ensure code maintainability, reusability, and testability.
• Contribute to the platform's technical direction by staying up to date on emerging AI technologies, cloud design patterns and user experience methodologies. 

Collaborative Innovation: 

• Foster a collaborative environment by working 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.
• Foster a collaborative and inclusive environment by effectively communicating technical concepts and design decisions across diverse audiences.
• Provide mentorship and guidance to junior engineers, fostering their growth and development. 

Driving Operational Excellence: 

• Oversee the seamless integration of components into the platform, ensuring efficient operation, reliability, and a dependable user experience for both customers and partners.
• Champion DevOps and AIOps best practices for AI services, maintainability, performance optimization, and observability. 

Requirements 

• Minimum 8+ years of experience designing, building, and operating cloud-native applications at scale. Expertise in container orchestration frameworks like Kubernetes and containerization technologies like Docker. Expertise in AI/ML/data capabilities, platforms, frameworks and tools.
• Proven track record deploying and managing cloud environments using Infrastructure as Code (IaC) tools like Terraform, Ansible, or CloudFormation.
• Experience in designing and implementing highly available, scalable, and fault-tolerant systems. 

Development Lifecycle: 

• End-to-end ownership of the entire software development lifecycle (SDLC) for complex enterprise platforms and products. This includes experience in design, prototyping, development (including unit, integration, and end-to-end testing), deployment, and ongoing operations. 

Technical Skills: 

• Mastery of essential software development principles with a focus on clean code, design patterns, and best practices.
• In-depth expertise in at least two of the following programming languages: Python, Java, JavaScript, Golang, or C++.
• Solid understanding of distributed systems concepts and experience with distributed tracing tools. 

AI/ML Experience: 

• Demonstrated experience in building, deploying, and managing Machine Learning (ML) and Artificial Intelligence (AI) platforms and services. Familiarity with MLOps practices, frameworks (TensorFlow, PyTorch), and tools is a plus 
• Familiarity with modern LLMs and AI agent frameworks like LangChain, LlamaIndex , AutoGen etc. is a strong plus 

Staff Software Development Engineer  

As a Staff Software Development Engineer at JazzX, you'll define the technical vision for our enterprise AI platform, mentor senior engineers, and oversee the design, development, and deployment of critical AI, software and infra services and components.  You'll be responsible for ensuring the platform's scalability, reliability, security and observability. 

What You Will Do 

Design and Architect Scalable Solutions: 

• Lead the design and development of high-performance, scalable services and components for our enterprise AI platform using a cloud-first, cloud-agnostic approach with world class AI capabilities, scalability, security, privacy and operability.
• Champion a cloud-first, cloud-agnostic approach to ensure platform versatility, scalability, and future-proof architecture.
• Champion innovative AI and software design patterns and best practices to ensure code maintainability, reusability, and testability.
• Contribute to the platform's technical direction by staying up to date on emerging AI technologies, cloud design patterns and user experience methodologies. 

Collaborative Innovation: 

• Foster a collaborative environment by working 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.
• Foster a collaborative and inclusive environment by effectively communicating technical concepts and design decisions across diverse audiences.
• Provide mentorship and guidance to junior engineers, fostering their growth and development. 

Driving Operational Excellence: 

• Oversee the seamless integration of components into the platform, ensuring efficient operation, reliability, and a dependable user experience for both customers and partners.
• Champion DevOps and AIOps best practices for AI services, maintainability, performance optimization, and observability. 

Requirements 

• Minimum 8+ years of experience designing, building, and operating cloud-native applications at scale. Expertise in container orchestration frameworks like Kubernetes and containerization technologies like Docker. Expertise in AI/ML/data capabilities, platforms, frameworks and tools.
• Proven track record deploying and managing cloud environments using Infrastructure as Code (IaC) tools like Terraform, Ansible, or CloudFormation.
• Experience in designing and implementing highly available, scalable, and fault-tolerant systems. 

Development Lifecycle: 

• End-to-end ownership of the entire software development lifecycle (SDLC) for complex enterprise platforms and products. This includes experience in design, prototyping, development (including unit, integration, and end-to-end testing), deployment, and ongoing operations. 

Technical Skills: 

• Mastery of essential software development principles with a focus on clean code, design patterns, and best practices.
• In-depth expertise in at least two of the following programming languages: Python, Java, JavaScript, Golang, or C++.
• Solid understanding of distributed systems concepts and experience with distributed tracing tools. 

AI/ML Experience: 

• Demonstrated experience in building, deploying, and managing Machine Learning (ML) and Artificial Intelligence (AI) platforms and services. Familiarity with MLOps practices, frameworks (TensorFlow, PyTorch), and tools is a plus 
• Familiarity with modern LLMs and AI agent frameworks like LangChain, LlamaIndex , AutoGen etc. is a strong plus 

Role Overview

As a Senior Staff Software Engineer at JazzX AI, you will operate as a principal technical owner of the platform’s most critical architectural foundations. This is a highly hands-on, senior individual contributor role with company-wide technical influence.

You will lead the design and evolution of core platform systems, shape long-term technical strategy, and drive execution across multiple teams and domains. Your work will directly influence:

• The long-term architecture of JazzX’s AI-native SaaS + PaaS platform
• How AI capabilities are safely, reliably, and audibly operationalized at scale
• Platform reliability, performance, security, and developer experience
• Engineering standards, architectural principles, and technical decision-making across the organization

This role is for engineers who think in systems, operate with extreme ownership, and enjoy solving ambiguous, high-impact problems at platform scale.

What You Will Do

1. Platform & System Architecture

• Define and evolve the end-to-end architecture for core platform services that power JazzX’s AI-native enterprise system.
• Own architectural decisions across distributed systems, service orchestration, data flows, and platform extensibility.
• Ensure designs balance scalability, reliability, security, privacy, and operational excellence.
• Drive architectural reviews, RFCs, and long-term technical planning across teams.
• Lead the design of enterprise workflows involving multiple services, teams, and human/system interactions
• Use process modeling techniques (e.g., BPMN or equivalent) to clarify flows, ownership, failure paths, and execution semantics

2. Cloud-Native & Infrastructure Foundations

• Set technical direction for cloud-native architecture across compute, storage, networking, and deployment models.
• Champion cloud-first, cloud-agnostic patterns and infrastructure best practices.
• Guide containerization, orchestration, and Infrastructure-as-Code standards.
• Partner closely with SRE, DevOps, and Security teams to build resilient, observable, and cost-efficient systems.

3. Developer Experience & Platform Enablement

• Design and build foundational APIs, frameworks, and abstractions that enable application and AI engineers to move fast without compromising correctness or safety.
• Establish platform contracts, service boundaries, and internal standards for extensibility and reuse.
• Ensure platform components are modular, composable, and well-documented.
• Act as a force multiplier for engineering velocity across the organization.

4. Operational Excellence & Reliability

• Own production readiness for mission-critical platform components, including availability, latency, scalability, and fault isolation.
• Define and enforce SLAs, SLOs, and reliability standards.
• Drive best practices around observability, distributed tracing, alerting, and incident response.
• Continuously improve operational maturity as the platform scales.

5. Technical Leadership & Organizational Influence

• Serve as a senior technical leader influencing platform direction through execution, not hierarchy.
• Mentor Staff and Senior engineers, raising the bar for systems thinking, design quality, and technical rigor.
• Collaborate deeply with AI research, product, security, and design teams to translate complex requirements into robust platform capabilities.
• Act as a trusted technical advisor to senior engineering and product leadership.

What We’re Looking For

Required Qualifications

• 12+ years of experience designing, building, and operating large-scale, production-grade software systems.
• Proven track record of owning and evolving complex distributed systems or platform architectures.
• Deep expertise in cloud-native systems, service-oriented design, and distributed architectures.
• Strong hands-on experience with containerized environments (Docker, Kubernetes) and modern cloud platforms.
•  

Software Engineering Excellence

• Expert-level understanding of software design principles, clean code practices, and system-level trade-offs.
• Strong proficiency in Python, with deep experience in at least one of: Java -Primary , Go, or JavaScript.
• Demonstrated ownership across the full SDLC: design, implementation, testing, deployment, and operations.
• Ability to make sound architectural decisions under ambiguity and evolving requirements.

Platform, Data & Infrastructure Skills

• Experience with Infrastructure as Code (Terraform, CloudFormation, or equivalent).
• Strong understanding of observability stacks, metrics, logging, and distributed tracing.
• Experience with event-driven systems, streaming platforms (e.g., Kafka), and both SQL and NoSQL databases.
• Familiarity with enterprise security, access control, and compliance considerations.
• Experience designing and implementing cross-system workflows (order processing, onboarding, approvals, etc.)
• Hands-on experience with BPMN-based or workflow-driven systems

AI / ML (Strong Plus)

• Experience building or operating platforms that support AI/ML or data-intensive workloads.
• Exposure to MLOps, AI service deployment, or AI-adjacent infrastructure.
• Experience integrating modern AI systems (LLMs, agents, retrieval, evaluation pipelines) into production platforms is a strong plus.

What Sets You Apart

• You think in platforms and systems, not just services.
• You lead through technical depth, execution, and influence, not authority.
• You are comfortable owning decisions with long-term architectural consequences.
• You care deeply about production quality, reliability, and maintainability.
• You thrive in environments where the platform is still being defined.

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.

Role Overview

This role sits at the core of how the platform works in practice for builders and solution teams.

You will translate complex platform capabilities—reusable components, workflows, and AI-driven systems—into intuitive, structured, and usable experiences. Beyond feature-level design, you will shape end-to-end workflows, ensuring clarity, usability, and scalability across use cases.

What You Will Own

Workflow & Experience Design

• Own end-to-end UX for key workflows from ideation to high-fidelity execution
• Translate complex, multi-step systems into intuitive interaction models
• Craft interfaces that simplify configuration-heavy, enterprise workflows
• Balance usability with power, flexibility, and correctness

Builder Experience & Usability

• Identify and remove friction in day-to-day builder workflows
• Design for both technical and semi-technical personas
• Enable smooth progression from exploration to production usage
• Ensure users understand system behavior, outputs, and tradeoffs

Prototyping, Research & Iteration

• Rapidly prototype concepts (low → high fidelity) to validate ideas
• Conduct user research (interviews, usability tests) and synthesize insights
• Use qualitative and quantitative signals to iterate and improve designs

Design Systems & Consistency

• Contribute to and evolve a scalable design system
• Ensure consistency across features and modules
• Reuse patterns effectively across workflows

Collaboration & Execution

• Partner closely with Product, Engineering, AI, and Solution teams
• Translate ambiguity into structured UX solutions and clear artifacts
• Participate in iterative design, reviews, and validation cycles

What We Are Looking For

Experience

• 6–8 years of experience in UX/UI design
• Experience designing B2B SaaS, platforms, or complex applications
• Strong portfolio demonstrating end-to-end problem solving

Skills & Capabilities

• Strong foundation in interaction design and information architecture
• Ability to design structured workflows and guided experiences
• Familiarity with technical or developer-facing products
• Proficiency in Figma (advanced components, prototyping)
• Ability to simplify complexity into intuitive UI patterns
• Exposure to AI/ML-powered products
• Experience with workflow tools, low-code platforms, or developer tools
• Ability to rapidly prototype ideas (low to high fidelity) to validate concepts
• Experience conducting user research and translating insights into design decisions

Mindset

• Strong ownership of features and user experience
• High bar for quality, clarity, and usability
• Comfortable working in ambiguity and fast-paced environments

What Success Looks Like

• Key workflows are intuitive and easy to navigate
• Reduced user friction in complex tasks
• Consistent UX patterns across the platform
• Faster onboarding and improved builder productivity

Why Join Us

• Opportunity to define UX for a category-defining AI platform
• Work on high-impact enterprise problems
• Be an AI-first Product Designer

Technical Product Manager, Innovation: Role Overview

Role Summary

JazzX is building AI-native digital workers that operate with institutional intelligence—governed, explainable, and continuously improving in real production environments. As JazzX expands beyond residential mortgage into new high-stakes domains (e.g., commercial lending, insurance, and adjacent verticals), the ability to rapidly stand up domain-specific solutions is a critical growth lever.

The Technical Product Manager, Innovation is a foundational product role responsible for accelerating JazzX’s reach into new verticals. This TPM will create reusable solutions as well as solution accelerators (e.g. workflow templates, policy and controls packs, ontologies, integration patterns, agent configurations, evaluation harnesses, etc.), and demo-ready reference implementations—that compress time-to-value across commercial lending, insurance, and future domains.

This is a hybrid builder-deployer role. You will combine deep product thinking with hands-on customer engagement—at times, working directly within customer organizations to implement JazzX solutions in production. Every deployment strengthens the accelerator library and platform, so the next one is faster, cheaper, and better. Think part technical product manager and part solutions architect—with the strategic judgment to shape what JazzX builds next based on what you learn in the field.

This is a 0 → 1 → scale role: hands-on execution early, then systematizing what works into playbooks, templates, and reusable platform capabilities.

Core Profile: What We Need

0 → 1 Builder With Systems Thinking (Startup DNA, High Ownership)

Thrives in ambiguity and can go from blank page to shipped solution fast—then turn one-off success into a repeatable template that scales across customers and verticals. You build the “factory,” not just the first widget. Balances speed with enterprise-grade quality in high-stakes environments.

Technical Product Leader (Strong Engineering Surface Area)

Comfortable going deep on APIs, AI & data models, integrations, permissions, system boundaries, and deployment constraints. Able to partner as a technical peer to Engineering: clarify tradeoffs, shape architecture decisions, and keep execution unblocked. Writes crisp technical specs, defines interfaces, validates edge cases, and understands what it takes to ship production-grade software. Strong instincts around instrumentation, telemetry, reliability, and operational workflows.

Solution Accelerator & Template Architect (Reuse as a First-Class Goal)

Thinks in modular building blocks: repeatable workflow patterns, configurable policies, reusable connectors, reference ontologies, evaluation harnesses, and deployable blueprints. Can distinguish what should be productized in the core platform vs. what should live as a domain package or configuration layer. Obsessed with repeatability and scale—every implementation should make the next one faster.

AI-Native Product Thinking

Experience building AI-powered workflows where systems complete consequential work and humans supervise outcomes. Comfortable with concepts like:

• Human-in-the-loop controls and escalation
• Explainability, confidence signaling, and audit trails
• Exception handling, recoverability, and safe automation
• Task orchestration, tool/function calling, guardrails, and continuous improvement loops

Domain Agility Across Regulated Enterprises

Prior experience in one or more regulated verticals such as Lending and/or Insurance is strongly preferred—but rapid learning and structured problem-solving are the true requirements.

Customer-Embedded Deployment Mindset (Production-Oriented Delivery)

Comfortable working directly with customer stakeholders (business and technical) to translate needs into shipped, measurable outcomes. Can operate effectively inside customer constraints: legacy systems, security reviews, data quality issues, governance, and change management. Treats adoption and measurable ROI as the job, not a downstream concern.

Clear Communicator & Cross-Functional Driver

Able to produce crisp product specs, workflow diagrams, decision logs, and rollout plans. Can lead alignment across Product, Engineering, UX, Solutions/Delivery, and GTM. Synthesizes field observations into clear, actionable product insights—serving as the critical bridge between customer reality and JazzX’s product roadmap.

Role Scope: What This Leader Will Drive

1. Identify and Prioritize New-Domain Solution Requirements

• Conduct deep domain immersion for each new vertical: understand the regulatory landscape, key personas, decision workflows, data requirements, and competitive dynamics
• Map the highest-leverage workflows and “thin slices” that prove value quickly in each segment
• Define segment-specific solution roadmaps (e.g., commercial lending sub-products; insurance lines/workflows) with clear value theses and measurable outcomes
• Conduct competitive analysis to understand how incumbents serve each segment and identify JazzX’s differentiated entry points

1. Build a Library of Templates & Solution Accelerators

Create reusable assets that materially shorten time-to-value, including:

• Workflow blueprints and reference architectures
• Configuration templates (policies, routing, exception paths, controls)
• Canonical data models and mapping guides
• Agent behavior configurations, prompt templates, and orchestration patterns
• Integration patterns/connectors and deployment checklists
• Evaluation and QA harnesses (golden datasets, regression tests, human review loops)
• Demo-ready “starter kits” that are real enough to become production

Package accelerators so they can be deployed repeatedly with predictable effort. Define what “good” looks like: measurable success criteria, instrumentation requirements, operational KPIs, and audit readiness.

1. Own End-to-End Customer Delivery for Selected Deployments

• Serve as JazzX’s forward-deployed technical partner within customer environments during initial solution rollouts
• Lead discovery, scoping, and solution design; map customer-specific workflows, data flows, and operational nuances; configure and adapt JazzX solutions accordingly
• Work alongside customer operations, IT, security, compliance, and business stakeholders to validate solution performance and drive adoption
• Ensure solutions move beyond pilots into production with reliability, governance, and measurable ROI built in
• Capture and productize learnings into the accelerator library—so every deployment makes the next one faster

1. Convert Workflow Reality Into Shippable Product Requirements

• Write detailed PRDs/specs that are precise on: user journeys, data/permission needs, integration contracts, edge cases, failure modes, and audit requirements
• Identify platform gaps exposed by new domain requirements and advocate for platform investments that increase cross-domain leverage
• Partner tightly with Engineering and UX to ship with high quality (including QA, release readiness, and instrumentation)
• Maintain a pragmatic backlog balancing domain accelerators, platform improvements, and customer-critical delivery needs

1. Ensure Trust, Governance, and Enterprise-Grade Controls

• Build patterns for explainability, auditability, supervision, and recoverability across all deployed solutions
• Define the human-in-the-loop controls: review, approve, intervene, escalate, and learn from expert judgment
• Partner with Security/Compliance stakeholders to meet customer requirements (roles/permissions, logs, data handling, policy enforcement)
• Design for enterprise reality: approvals, audit trails, governance, and integration into existing tools and operating rhythms

1. Establish Outcome Metrics and Continuous Improvement Loops

• Define success metrics per accelerator (time saved, throughput, error reduction, SLA adherence, audit readiness, user adoption)
• Ensure solutions are instrumented so JazzX can observe performance and iterate quickly
• Drive post-deployment iteration cycles that improve both the customer solution and the reusable template
• Maintain a domain knowledge base that enables future team members and customer success teams to deploy solutions independently

1. Enable Internal Teams & Support Go-to-Market

• Create internal documentation, demo flows, and enablement materials for Solutions, Sales, and Customer Success
• Partner with Marketing to develop domain-specific demos, proof-of-value frameworks, and customer-facing materials
• Contribute domain expertise to RFP responses, prospect conversations, and strategic partnership discussions
• Help build referenceable customer success stories with quantified outcomes from deployed solutions
• Represent JazzX’s domain expertise at industry events, conferences, and customer forums

Success Outcomes (First 12–18 Months)

Foundation & First Accelerators (0–6 Months)

• Deep domain immersion completed for at least two new verticals (e.g., commercial lending and insurance) with documented workflow maps, persona profiles, and opportunity assessments
• First set of new-domain use cases prioritized with clear ROI hypotheses and measurable success metrics
• 1–2 production-grade accelerators shipped (or in late-stage pilot) with documented templates, configuration patterns, and deployment checklists
• At least one customer-embedded deployment initiated with active workflow mapping and solution configuration underway
• Repeatable discovery-to-implementation workflow established (intake → spec → build → deploy → measure → templatize)

Expansion & Repeatability (6–12 Months)

• A growing library of accelerators spanning multiple segments within at least one new domain (e.g., multiple commercial lending sub-products or multiple insurance workflows)
• Time-to-value meaningfully reduced for subsequent deployments because templates, integration patterns, and evaluation harnesses are reusable
• At least two customer-embedded deployments delivering production value with quantified ROI outcomes
• Clear feedback loop from customer deployments into platform roadmap (what must be standardized vs. configured vs. left as customer-specific)

Scale & Platform Leverage (12–18 Months)

• A durable “solution factory” motion: new accelerators can be created and deployed predictably, without reinventing core patterns each time
• Deployment playbooks and domain knowledge base mature enough to enable other team members to execute deployments with decreasing direct involvement
• Multiple customer deployments leveraging the accelerator library with strong adoption and measurable outcomes
• Referenceable customer success stories across multiple domains with quantified business impact
• JazzX recognized by customers as enterprise-ready in new domains—due to governed operation, explainability, and real workflow embedding—not just a horizontal AI tool, but a solution that understands the business

Role Overview

This role leads the productization of the Reasoning Platform driving definition and delivery of the core reasoning capabilities underpinning the JazzX AGI system. This covers a wide spectrum of reasoning approaches from neuro-symbolic, probabilistic, cognitive, reinforcement-learning (RL)-based reasoning systems, as well as the infrastructure, tooling, and evaluation frameworks required to build, train, validate, and continuously improve AGI reasoners. The role owns strategy across data curation, benchmarking, feature alignment with customer use cases, RL gym environments, safety constraints, and tools enabling forward deployment teams to design, evaluate, and refine reasoning behaviors at scale.

The position works closely with research, engineering, safety, design, forward-deployment teams, and enterprise domain experts to ensure reasoning is predictable, verifiable, explainable, and aligned with real-world needs.

Core Responsibilities

Product Strategy

• Define the roadmap for the Reasoner Platform spanning the full spectrum of reasoning systems.
• Set product direction for prioritized feature development aligned with customer use cases and value drivers.
• Drive strategy for evaluation, safety constraints, reward models, and benchmarking systems improving reasoning accuracy, stability and reliability.

Reasoner Platform Productization

• Define requirements for configurable RL gym environments used to train, test, and validate agentic behaviors.
• Convert advanced reasoning research into productized capabilities, APIs, and developer tools for forward deployment teams to build customer solutions.
• Partner with research and engineering to deliver scalable training and inference infrastructure for reasoning-centric workloads.

Data Curation & Benchmarking

• Lead strategy for datasets, scenarios, and evaluation frameworks that measure reasoning accuracy, robustness, alignment, and generalization.
• Define requirements for synthetic data generation, curated reasoning traces, and adversarial testing.
• Own the roadmap for benchmarking tools, dashboards, leaderboards, and automated evaluation pipelines.

Reasoner Builder & Developer Experience

• Deliver tools that enable teams to design, test, refine, and deploy custom reasoning patterns.
• Define interfaces for rule editing, prompt program construction, policy tuning, and RL reward configuration.
• Ensure builder workflows support rapid iteration, safe experimentation, and interpretable outputs.

Integration with AGI Capabilities

• Align reasoning capabilities with memory, grounding, planning, and the broader Knowledge Platform.
• Define safe mechanisms for reasoners to inspect state, update plans, call tools, interact with environments, and refine policies.
• Integrate provenance, safety checks, transparency, and control mechanisms across all reasoning operations.

Customer & Domain Alignment

• Partner with enterprise domain specialists to understand complex decision workflows and map them to reasoning primitives.
• Identify common reasoning patterns across industries and convert them into reusable platform components.
• Ensure the platform supports both autonomous agents and human-in-the-loop decision processes.

Metrics & Impact

• Define and track core reasoning KPIs such as correctness, robustness, consistency, sample efficiency, safety adherence, and generalization.
• Measure performance across synthetic, human-generated, and real-world tasks.
• Use evaluation insights to refine roadmap priorities and ensure platform impact translates to real-world performance.

Qualifications

Experience

• 10+ years in technical product management; 5+ years in AI/ML, agent systems, RL, or reasoning technologies.
• Experience building large-scale AI platforms, RL training systems, evaluation frameworks, or advanced decision-support tools.
• Demonstrated success in productizing research-heavy technologies.

Technical Depth

• Strong understanding of RL, policy optimization, reward modeling, agentic planning, and model fine tuning approaches.
• Knowledge of evaluation methods, benchmarking design, dataset development, and safety frameworks.

Leadership

• Ability to lead multi-year product strategy across research and engineering.
• Skilled at turning emerging reasoning research into stable, scalable platform features.
• Ability to mentor senior PMs across data curation, model-based reasoning, and builder experiences.

Education

• Bachelor’s degree in Computer Science, Engineering, or a related technical field required. Advanced degrees (MS, PhD) in relevant areas preferred but not required.

Staff AI Product Manager – Core AGI Platform Services 

Location:  Bangalore, India (with availability to work across multiple time zones) 

Department: Product Management (Technical) 

Role Overview 

As a Staff AI Product Manager (Technical) for Core AGI Platform Services, you will own the foundational services that power reasoning, orchestration, memory, safety, and scalability across all AGI-enabled products. This role is responsible for defining and evolving platform-level capabilities ensuring research breakthroughs translate into reliable, reusable, enterprise-grade services. The position requires deep technical judgment, system-level thinking, and the ability to productize AGI capabilities under real-world constraints. 

Responsibilities 

Product Strategy & AGI Roadmap 

• Define and maintain the roadmap for Core AGI Platform Services, including reasoning, agent orchestration, memory, and model interaction layers. 

• Align platform priorities with the long-term AGI vision, focusing on extensibility, composability, and reuse across products. 

• Anticipate platform needs for emerging AGI capabilities such as long-horizon reasoning, autonomous agents, continual learning, and alignment controls. 

• Establish clear interfaces and ownership boundaries between core services and downstream solution teams. 

Cross-Functional Leadership 

• Partner closely with AGI research teams to transition experimental capabilities into production-grade platform services. 

• Collaborate with platform and infrastructure engineering to ensure services are scalable, reliable, and operable across cloud, hybrid, and enterprise environments. 

• Work with security, safety, and ethics stakeholders to embed governance, policy enforcement, and auditability directly into platform services. 

• Provide technical product leadership across time zones, driving alignment without relying on hierarchical authority. 

Customer-Centric Innovation 

• Treat internal product and solution teams as primary customers of the platform. 

• Identify recurring infrastructure and capability gaps that slow AGI product development and consolidate them into shared services. 

• Incorporate feedback from enterprise deployments to harden platform primitives against real-world operational constraints. 

• Balance capability velocity with reliability, safety, and long-term maintainability. 

Metrics & Scalability 

• Define KPIs for platform health, including adoption, reliability, performance, cost efficiency, and reasoning quality. 

• Establish evaluation and observability mechanisms for AGI behaviors at the platform level. 

• Enable continuous experimentation while maintaining strict standards for production readiness and rollback. 

Go-to-Market Execution 

• Support internal and external enablement by providing clear platform contracts, documentation, and integration patterns. 

• Partner with customer-facing teams to ensure Core AGI Platform Services integrate cleanly into enterprise workflows. 

• Help articulate platform capabilities and constraints to technical and executive stakeholders without overpromising outcomes. 

Qualifications 

Experience 

• 8–12 years of technical product management experience, withdemonstratedownership of platform or infrastructure products. 
  • 3+ years delivering AI/ML or LLM-based systems used in production at scale. 
  • Experience operating in research-adjacent environments where ambiguity and rapid iteration are the norm. 

Technical Acumen 

• Strong understanding of foundation models, LLMs, agentic frameworks, RAG, and memory architectures.
  • Familiarity with large-scale model serving, distributed inference, and platform reliability concerns.
  • Ability to reason about system-level tradeoffs involving latency, cost, capability, and safety. 

Leadership & Strategy 

• Proven ability to translate research outputs into durable platform capabilities.
  • Comfortable making high-impact platform decisions with incomplete information.
  • Able to influence senior engineers, researchers, and executives through technical clarity and structured thinking. 

Soft Skills 

• Clear, precise communicator with the ability to explain complex platform concepts succinctly.
  • Strong analytical problem-solving skills with a bias toward decisive execution.
  • Operates effectively across global, cross-functional teams without dependency on formal authority. 

Education 

• Bachelor’s degree in Computer Science, Engineering, Data Science, or related field; advanced degree preferred but not required.