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. 

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.

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. 

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.

Role Overview 

We’re seeking a Full-Stack Engineer with deep expertise in React and Python to design and deliver high-impact, user-centric applications on the JazzX platform. In this role, you’ll go beyond traditional development—partnering directly with clients to understand their workflows and building intuitive tools that make JazzX integral to their operations.

If you’re passionate about crafting elegant interfaces, solving real-world problems, and driving meaningful impact through technology, this is your opportunity to lead and innovate at the intersection of AI and enterprise software.

Key Responsibilities

Client-Facing Product Development

• Design and develop custom solutions tailored to client workflows.
• Collaborate with product managers, delivery leads, and stakeholders to define and deliver user-friendly solutions.
• Lead overall development effort using React & Python and ensure seamless integration with platform services.
• Provide technical leadership and mentorship within the team.

Embedded Client Execution

• Work closely with client teams—on-site or remotely—to rapidly iterate and refine solutions.
• Conduct user testing and gather feedback to continuously improve solution effectively.
• Deliver mission-critical tools that directly support client operations.

Architecture & Implementation

• Build responsive, accessible, and performant web interfaces using React, TypeScript, HTML/CSS.
• Develop overall backend systems, APIs, and data models as per solution requirement.
• Develop reusable components and integrate with JazzX platform and other client specific services.
• Maintain high standards of code quality, scalability, and maintainability.

Cross-Functional Collaboration

• Partner with SME’s, platform engineers, data scientists, and designers to translate complex workflows into intuitive solutions.
• Communicate technical concepts effectively across technical and non-technical audiences.

Iteration, Testing & Deployment

• Drive agile development cycles with frequent releases and feedback loops.
• Own the stability and performance of deployed applications, including debugging and optimization.

UI Advocacy & Best Practices

• Champion design system consistency, accessibility, and frontend performance.
• Contribute to internal tooling and UI playbooks to streamline future development.

Qualifications

• Experience: 7+ years of hands-on experience in full stack development, with proven expertise in building scalable applications.
• Frontend Skills: Strong proficiency in React, JavaScript/TypeScript, and CSS.
• Backend Skills: Solid experience with Python, including API design, data handling, and integration with modern frameworks.
• UX Focus: Strong design instincts and a user-first mindset.
• Ownership: Demonstrated ability to take features from concept to deployment.
• Communication: Excellent verbal and written communication skills, including client-facing experience.
• Database Knowledge: Proficiency with SQL and NoSQL databases.
• Technical Curiosity: Keen interest in LLMs, prompt engineering, and AI-driven solutions. Continuous learner with a drive to explore and adopt emerging frameworks, APIs, and tools.

Attributes

• Empathetic & Accountable: You listen to users and take full ownership of delivering great experiences.
• Startup Mindset: Fast-moving, adaptable, and comfortable wearing multiple hats.
• Detail-Oriented: You care about polish and precision.
• Mission-Driven: Motivated by solving meaningful problems.
• Collaborative: Low ego, team-first attitude, and excited to build alongside talented peers.

  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. 

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.