About the role We are looking for a Backend Engineer who will play a pivotal role in developing and maintaining core backend systems, with a strong focus on implementing and integrating innovative features. This role spans across backend architecture, API design, automated testing, and seamless integration of experimental features into our production systems. You will collaborate closely with product managers, AI/ML teams, and frontend engineers to bring new capabilities to life, ensure their reliability, and scale them to support enterprise-grade deployments. Responsibilities Backend Development: Design, build, and maintain robust backend services and APIs. Work with modern frameworks and architectures (e.g., Node.js, Python, FastAPI, Express, etc.). Optimize performance, reliability, and scalability of existing services. Innovation Feature Integration: Work with AI/ML or R&D teams to integrate experimental features and services. Translate proof-of-concept prototypes into production-ready code. Ensure innovative components are modular, well-documented, and testable. Testing & Quality Assurance: Implement and maintain unit, integration, and end-to-end test coverage for backend services. Set up testing environments and CI pipelines for validation of new features. Collaborate with QA and DevOps to maintain a clean release pipeline. System Integration: Integrate new backend components with third-party systems (e.g., CRMs, analytics, email services). Ensure data consistency, security, and API compatibility across services. Work on webhooks, messaging queues, or Kafka topics as part of system communication layers. Collaboration & Documentation: Work closely with product, AI, and frontend teams to understand requirements and define backend scopes. Participate in code reviews, design reviews, and sprint planning. Document APIs, services, workflows, and testing processes. Requirements 3–6 years of experience in backend development. Proficiency in one or more backend languages (e.g., Node.js, Python, Go). Strong understanding of REST APIs, web services, and microservice architecture. Experience with databases (SQL or NoSQL), caching systems, and message queues. Experience in writing tests (unit, integration) and setting up CI/CD pipelines. Familiarity with tools like Docker, Git, Postman, Swagger, and monitoring tools. Comfortable working in agile environments with fast feature iteration. Qualifications Experience working on innovation or AI-driven projects. Knowledge of asynchronous processing using Kafka, RabbitMQ, or similar. Exposure to test automation frameworks (e.g., Pytest, Mocha, Jest). Understanding of security, data privacy, and performance tuning best practices. Experience with feature flags, canary deployments, or blue-green strategies. Show more Show less

About the Company Sparsa AI is a Singapore based Industrial-AI Startup, building the next generation of agentic AI platform to transform how physical industries—such as manufacturing and logistics—make decisions and optimize their operations. Our AI agents orchestrate complex workflows across business functions and enterprise applications including ERP, MES, CRM and supply chain environments to resolve real-world constraints and unlock productivity. About the Role Sparsa AI is seeking a execution-focused Vice President of Engineering to balance vision, product strategy and delivery of its agentic AI platform. This executive role blends customer-centric product leadership with technical oversight of a multi-tenant SaaS and ML/AI stack and the engineering teams that build and manage them. The ideal candidate brings solid experience in AI product development, cloud infrastructure, and cross-functional engineering team building, with a strong focus on delivering enterprise-grade solutions. This is a high-impact opportunity to shape a category-defining platform in one of the most ambitious AI startups focused on Real Economy enterprises. This job can be located anywhere in India . Frequent travel within India as well as to locations in Europe and Asia is expected. Core Responsibilities Define, own, and continuously evolve the end-to-end product roadmap in alignment with company vision and market demand. Translate output from the Chief AI Officer-led innovation stream into deployable enterprise-ready products. Prioritize product features and initiatives based on customer needs, business impact, and technical feasibility. Product Lifecycle Leadership Own the end-to-end product lifecycle: concept → MVP → iterative releases → scale. Set and uphold delivery, quality, and performance standards across the product organization. Infrastructure & Deployment Ownership Own the architecture and operations of cloud-native infrastructure used to support product deployment and scaling. Lead development and oversight of AI/ML Ops systems ensuring robust, automated, and secure model training, testing, and deployment pipelines. Ensure alignment of product infrastructure with enterprise IT security, compliance, and integration requirements. Product-Market Fit & GTM Alignment Partner closely with the leadership team to align product strategy with GTM execution. Drive delivery success for Agentic AI solutions across our growing customer base, ensuring measurable outcomes and operational reliability. Interface with key customers and partners to understand emerging needs and drive product-market fit in targeted (real economy) industries. Qualifications 10+ years of experience in product or platform leadership , ideally in AI startups or SaaS environments. Demonstrated success delivering customer-facing software and ML/AI solutions from zero to scale. Strong ability to connect customer problems with technical solutions, and manage trade-offs. Experienced in building and leading cross-functional teams (product, engineering, cloud, MLOps in agile environments). Proven experience building and scaling multi-tenant SaaS platforms with strong observability, compliance, and performance. Deep understanding of cloud-native ML architecture, MLOps best practices (CI/CD, versioning, drift detection), and integrating third-party tools across AWS, Azure, or GCP environments. Fluent English & German language skills. A high degree of mobility and flexibility in location is preferred. Required Skills Hands-on exposure to LLM agents, orchestration frameworks (LangChain, Semantic Kernel, etc). Experience with developer platforms, agent SDKs, or enterprise integration stacks (e.g., SAP, MES, RPA). Experience with mainstream ERPs like SAP/Oracle etc. Experience in ERP and MES products like SAP, Siemens etc. Preferred Skills You are a builder and executor, not just a strategist. Thrive in ambiguity and are energized by both 0→1 and 1→N product challenges. Have deep empathy for both internal dev teams and external enterprise users. Share Sparsa’s mission to provide a Digital Workforce as a Service (DWAAS) through agentic AI. Pay range and compensation package Executive-level role at a visionary AI company with presence in Asia and Europe. High ownership, equity participation, and impact on product and company direction. Direct collaboration with the founding team (CEO, CSO, CAIO). A platform to build something transformative for global industries. Equal Opportunity Statement If you are passionate about building transformative products at the intersection of AI and industrial operations, we invite you to shape the future with us. This is your opportunity to lead Product delivery in a fast-growing company that is redefining how the real economy works. At Sparsa AI, you'll work alongside an exceptional team, solve real-world problems, and leave a lasting impact on global industries. Let’s build the future of Industrial AI-Agents—together. If you have the chops, let’s connect!