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!
Sparsa AI is a Singapore and Germany 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. As our infrastructure grows more complex, we’re hiring a DevOps Engineer to drive platform automation, deployment velocity, and operational reliability across multi-tenant, event-driven services. What you'll do: Architect and manage our cloud infrastructure (AWS) with security and scalability in mind Build and maintain CI/CD pipelines for backend, AI, and agent services Define infrastructure as code using Terraform, Pulumi, or CDK Operate event-driven components like API Gateway, EventBridge, SQS, and MSK Collaborate with backend and AI teams to deploy, scale, and monitor core services Ensure secrets management, network segmentation, and role-based access control What we’re looking for: 3–6 years of experience in DevOps, SRE, or Cloud Engineering Hands-on experience with AWS services (Fargate, Lambda, ECS/EKS, Step Functions) Proficient in Terraform and GitHub Actions (or similar CI/CD) Familiar with observability tools (CloudWatch, OpenTelemetry, Grafana) Strong security hygiene and operational discipline in multi-service environments Benefits A core engineering role in a fast-scaling Industrial-AI startup with operations in Singapore and Germany. High ownership of the cloud infrastructure powering next-generation agentic AI for manufacturing, logistics, and other real-world industries. Direct collaboration with backend and AI teams to design, automate, and scale multi-tenant, event-driven platforms. The chance to work with cutting-edge AWS architectures and modern DevOps tooling to deliver enterprise-grade reliability and performance Join Us at Sparsa AI 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 learn and execute 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!
Sparsa AI is a Singapore and Germany 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. We’re looking for a Backend Engineer to help us build foundational services that power agent observability, feedback systems, and data capture for LLM fine-tuning. This role sits at the intersection of infrastructure and AI, and is core to enabling intelligent enterprise agents. What you'll do: Design and maintain backend services for agent orchestration, session tracking, and feedback ingestion Build APIs and microservices that support real-time and batch workflows Integrate observability tooling to enable fine-grained monitoring of agent behavior Work closely with the AI team to structure data pipelines and interaction logs Contribute to internal SDKs and service interfaces used across deployments What we’re looking for: 2–5 years of backend engineering experience (Node.js, Python, or similar) Experience with API development, WebSockets, and microservices patterns Familiarity with DynamoDB, Redis, and message buses like Kafka/EventBridge Exposure to observability stacks (OpenTelemetry, tracing, metrics) Bonus: experience working on LLM-based or event-driven systems Benefits A key engineering role at a pioneering AI company with operations in Asia and Europe. High ownership of backend systems that directly shape intelligent enterprise agent performance. Close collaboration with the AI and infrastructure teams to design services powering agent orchestration, observability, and fine-tuning data pipelines. The chance to build foundational systems that will be deployed across multiple industries and high-impact enterprise environments. Join Us at Sparsa AI 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 learn and execute 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!
What you'll do: Design and deploy data-driven solutions for manufacturing customers using Sparsa's agentic SDK and ERP integrations (SAP, Oracle, MES systems) Build translation layers and adapters to convert customer data pipelines into common schemas that our agents can work with Monitor agent performance and create impact reports showing measurable improvements to present to customers Serve as primary feedback channel between customer implementations and AI team, translating real-world challenges into technical requirements Work directly with enterprise customers during onboarding, solution deployment, and technical workshops for manufacturing stakeholders Perform advanced data analysis on manufacturing datasets to identify optimization opportunities and extract actionable insights from production data What we're looking for: 4–6 years of experience as Data Analyst/Scientist or Solutions Engineer Strong software engineering fundamentals with excellent Python proficiency Strong data science skills (pandas, numpy, matplotlib, polars, dask, etc.) with SQL expertise for complex data manipulation Data pipeline and ETL experience for enterprise data integration and workflow orchestration Customer-facing technical skills with proven track record presenting complex solutions to technical stakeholders Solutioning abilities - translating business problems into technical solutions with measurable outcomes Bonus: experience in manufacturing/industrial environments, hands-on experience with ERP systems (SAP, Oracle), MES products (Siemens, GE Digital), knowledge of CRM systems (Salesforce, HubSpot), manufacturing domain knowledge (supply chain, production planning, quality systems) Benefits A pivotal engineering role at a cutting-edge AI company with operations across Asia and Europe. High ownership of end-to-end ML application development. The platform, resources, and autonomy to design, deploy, and scale AI solutions that transform real-world industries globally. Join Us at Sparsa AI 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 learn and execute 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!
Sparsa AI is a Singapore and Germany 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. We're hiring an LLM Application Developer to own the complete LLM application lifecycle - from prompt engineering and model management to evaluation frameworks and production monitoring - while developing and maintaining our core agentic SDK. What you'll do: Design and implement prompt engineering systems, evaluation frameworks, and LLM performance monitoring for production agent deployments Develop and maintain our agentic SDK that powers multi-agent orchestration and tool-calling capabilities across enterprise systems Build LLM operations infrastructure including model serving, version control, A/B testing, and performance optimization pipelines Create comprehensive testing and evaluation suites to ensure agent reliability and measure model performance against business KPIs Work closely with the innovation team to integrate new model capabilities and optimize agent behavior for customer use cases What we're looking for: 3–5 years of software engineering experience with strong Python proficiency, asynchronous programming (Async IO), and API development skills Hands-on experience building, productionising and maintaining LLM applications including RAG systems, prompt engineering frameworks, evaluation pipelines and preferably, agentic systems. Strong understanding of LLM software development patterns, multi-agent orchestration, and tool-calling frameworks Experience with LLM operations - model serving, monitoring, version control, and performance optimization Familiarity with evaluation methodologies, A/B testing, and metrics collection for ML systems in production Bonus: experience with agentic frameworks (LangChain, Semantic Kernel, CrewAI, AutoGen), MLOps tools, enterprise system integrations Benefits A core engineering role in a fast-scaling Industrial-AI startup with operations in Singapore and Germany. End-to-end ownership of LLM application development — from prompt engineering to production monitoring — with direct impact on real-world, mission-critical enterprise workflows. Opportunities to work at the intersection of agentic AI, enterprise integrations, and large-scale production systems, shaping the capabilities of our next-generation Agentic SDK. Collaboration with a deeply technical founding team and innovation specialists to integrate cutting-edge model capabilities and deploy them in high-value customer environments. Join Us at Sparsa AI 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 learn and execute 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!
Sparsa AI is a Singapore and Germany 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. We are looking for a highly organized and proactive Finance & People Operations Associate to support the CEO and leadership team. This role combines administrative operations, HR coordination, and basic finance support. You will help keep the company running smoothly by managing day-to-day operational tasks across accounting, HR, payroll, hiring coordination, and documentation. This is a high-trust role with visibility across multiple core functions, and is ideal for someone who wants to grow their career in HR, business operations, or executive support in a fast-growing startup environment. Key Responsibilities Finance & Accounting Support Categorize monthly bank and card transactions in accounting software/spreadsheets. Prepare monthly management accounting summary and expense reports. Track vendor invoices, payment schedules, and reimbursements. Coordinate with external accountants or finance vendors. HR Operations Prepare HR documents (offer letters, appointment letters, NDAs, experience letters, termination letters). Maintain employee records and ensure accurate HR data. Coordinate onboarding and offboarding processes. Maintain leave records, attendance logs, and timesheets (if applicable). Recruitment Coordination Work with recruiters to initiate, track, and close hiring processes. Schedule interviews and serve as point of contact for candidates. Publish job descriptions on relevant hiring platforms and maintain candidate pipelines. Payroll & Compliance Coordinate monthly payroll inputs with payroll processing partners. Track statutory compliance documentation and ensure required filings/records are in place. Maintain confidentiality of salaries and HR data. Administrative Support Assist the CEO and leadership team with internal operational tasks. Maintain internal documentation and shared Drive/Notion folders. Support office administration and vendor coordination (if applicable). Requirements 1–4 years of work experience in HR operations, accounting support, executive assistant, or office administration roles. Strong organizational skills, attention to detail, and the ability to manage multiple tasks. Good written and verbal communication skills. Strong Excel/Google Sheets, Word, and PowerPoint skills. Comfort with basic accounting concepts and documentation. Comfortable using AI tools to accelerate and automate work. High degree of professionalism and confidentiality. Proactive, structured, and reliable working style. Nice to Have Experience in a startup environment. Familiarity with Google Workspace, Notion, Slack, QuickBooks/Xero/Zoho, or HR/payroll platforms. What We Offer Opportunity to work directly with the founders and leadership team. Exposure to strategic and operational decision-making. Flexibility in working hours and remote work setup. Clear growth path toward People Operations Lead / Finance Operations Lead / Chief of Staff, depending on performance. Join Us at Sparsa AI 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 learn and execute 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!
Sparsa AI is a Singapore and Germany 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. We are looking for a highly motivated and skilled Mid-Level Full Stack Developer to help design, build, and deploy our next-generation web applications. This role requires proficiency across the entire software development lifecycle, from sophisticated front-end UI/UX implementation in React to scalable, robust back-end services in Node.js . The ideal candidate embraces Agile methodologies, CI/CD , and actively leverages AI tools to enhance code quality and accelerate delivery. Key Responsibilities Design & Development System Design & Analysis: Participate actively in system design discussions, contributing to architecture decisions for new features and applications. Conduct requirement analysis to translate complex business needs into clear, technical specifications. Back-End Development (Node.js): Design, implement, and maintain scalable and high-performance RESTful APIs and microservices using Node.js and related frameworks (e.g., Express, NestJS). Front-End Development (React): Create rich, intuitive, and responsive user interfaces using React.js, TypeScript/JavaScript, and related state management/styling libraries. Must have experience in developing complex data visualizations, dashboards, and real-time chat user interfaces. Collaboration & Quality Assurance UX Collaboration: Serve as the technical bridge between engineering and design. Work directly with UX professionals to implement designs and translate UX handover documents (Figma, Sketch, etc.) into functional, high-fidelity user interfaces. Code Quality & Testing: Write comprehensive Unit Tests for both front-end and back-end code using frameworks like JEST or similar tools (e.g., Mocha, Enzyme) to ensure reliability and maintainability. AI Augmentation: Proactively utilize AI tools (e.g., GitHub Copilot, ChatGPT, domain-specific AI platforms) for purposes such as code generation, refactoring, QA testing script creation, and documentation to maximize team velocity. Deployment & Process DevOps & CI/CD: Maintain and improve the CI/CD pipelines (e.g., Jenkins, GitLab CI, GitHub Actions) for automated testing and deployment. Cloud & Infrastructure: Possess working experience with cloud services, primarily AWS (e.g., EC2, S3, RDS, Lambda), to manage and scale application infrastructure. Agile Practice: Participate fully in Agile Processes (Scrum/Kanban), including sprint planning, daily stand-ups, and retrospectives, ensuring continuous, iterative delivery. Version Control: Utilize GIT and branching strategies (e.g., Gitflow) for collaborative development and effective version control. Required Qualifications Education: Bachelor's degree in Engineering (B.E./B.Tech) from a globally recognized "Tier 1" institution, with a consistently strong academic record (high grades/GPA). Experience: 3+ years of professional experience in software development, with a strong focus on Node.js or related back-end technologies. Front-End Expertise: Strong proficiency in creating modern user interfaces using React.js and its ecosystem. Architecture: Proven ability to contribute to system design and articulate trade-offs between different architectural choices. Testing: Hands-on experience writing Unit Tests using frameworks like JEST. Methodology: Demonstrable experience working in an Agile/Scrum environment and proficiency with GIT. API: Expertise in designing and consuming REST API services. Highly Desired Skills Direct experience partnering with design teams and consuming high-fidelity UX specifications. Proven record of using AI tools to measurably increase development efficiency or code quality. Familiarity with other front-end libraries (e.g., Next.js, Redux, or similar). Experience with Infrastructure as Code (IaC) tools like Terraform or CloudFormation. Knowledge of containerization technologies like Docker. Join Us at Sparsa AI 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 learn and execute 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!