About the Company At Multiscale Technologies, we believe the future is driven by innovative materials — but traditional approaches to discovering and manufacturing them are outdated and unsustainable. That’s why we’ve developed cutting-edge technologies to revolutionize this process. We bring together world-class materials scientists, software engineers, and AI experts to build intelligent systems that drive industrial transformation. As a Series-A funded startup, Multiscale offers you the opportunity to make a direct impact at a fast-growing company solving real-world engineering challenges. About the Role Full Stack or Backend Developer to build and maintain robust APIs, support ML integration, and deliver user-facing functionality for intelligent applications. Collaborate with UI, AI, and data teams to implement scalable solutions that drive industrial decision-making. Responsibilities Develop RESTful APIs using FastAPI or Flask for backend integration. Work with SQL/NoSQL databases and data access layers. Support integration with frontend systems (React, Streamlit). Ensure test coverage, documentation, and CI/CD integration. Collaborate with cloud and platform teams on deployment. Qualifications 2+ years of experience in backend or full stack development. Required Skills Strong Python development skills with API design and testing. Working knowledge of SQL, ORMs, Docker, Git. Preferred Skills Streamlit, React, Docker, CI/CD, API Design, Web Development, Microservices, Full Stack Developer
About the Company At Multiscale Technologies, we believe the future is driven by innovative materials — but traditional approaches to discovering and manufacturing them are outdated and unsustainable. That’s why we’ve developed cutting-edge technologies to revolutionize this process. We bring together world-class materials scientists, software engineers, and AI experts to build intelligent systems that drive industrial transformation. As a Series-A funded startup, Multiscale offers you the opportunity to make a direct impact at a fast-growing company solving real-world engineering challenges. About the Role We are hiring a Data Engineer to build reliable data pipelines and infrastructure that support machine learning, analytics, and scientific applications. This role will enable downstream AI engineers and scientists to work efficiently with structured, validated, and high-quality data. Responsibilities Design ETL/ELT pipelines to process structured/unstructured industrial data. Work with domain experts to build schemas aligned with ML workflows. Interface with databases, cloud storage, and internal data platforms. Maintain data quality, validation, and observability standards. Qualifications 3+ years of experience in data engineering, analytics, or platform data roles. Proficiency in Python, Pandas, SQL. Familiarity with Airflow, Prefect, or other orchestration frameworks. Preferred Skills Experience with manufacturing/process control data. Exposure to ML feature pipelines or scientific data modeling. Cloud platform experience (e.g., GCP, AWS).
About the Company At Multiscale Technologies, we believe the future is driven by innovative materials — but traditional approaches to discovering and manufacturing them are outdated and unsustainable. That’s why we’ve developed cutting-edge technologies to revolutionize this process. We bring together world-class materials scientists, software engineers, and AI experts to build intelligent systems that drive industrial transformation. As a Series-A funded startup, Multiscale offers you the opportunity to make a direct impact at a fast-growing company solving real-world engineering challenges. About the Role We’re looking for an AI Engineer to help build intelligent systems that leverage large language models (LLMs) and autonomous workflows. This includes developing agents, copilots, and automated app-generation tools that power intelligent UIs, dashboards, and scientific decision-making systems. Responsibilities Design and implement AI-driven systems integrating LLMs into real-world workflows. Develop backend services (FastAPI/Flask) to expose intelligent capabilities via APIs. Create pipelines that produce executable app code from user prompts (Agentic App Generation). Build planning and reasoning loops using frameworks like LangChain, CrewAI, or Autogen. Containerize and deploy generated apps using Docker, Kubernetes. Qualifications 3+ years of experience in AI, ML, or backend development with Python. Proficiency with LLM APIs (OpenAI, HuggingFace), FastAPI, Docker. Solid grounding in prompt engineering, model integration, and API development. Required Skills Experience with agentic frameworks (like LangChain, CrewAI, Autogen). Prior work on autonomous app generation or intelligent UI creation. Familiarity with CI/CD, cloud deployment, and orchestration tools. Location Hyderabad, India (on-site at client location) Travel 0–10%
As a senior data engineer at Multiscale Technologies, you will be part of the Forward Deployed Applications team, working on customer-facing projects. Your primary responsibilities will include partnering with customer engineers and domain experts to understand data sources, designing and building ETL/ELT workflows for structured and unstructured datasets, creating scalable data pipelines, developing data validation systems, and building Streamlit applications for data exploration and visualization. Key Responsibilities: - Partner with customer engineers and domain experts to understand data sources, quality challenges, and integration requirements. - Design and build ETL/ELT workflows for structured and unstructured datasets, aligning them to analytics, ML, and simulation needs. - Develop and maintain scalable data pipelines with orchestration tools like Airflow or Prefect. - Create and maintain data validation, profiling, and observability systems. - Build and maintain data cataloging, lineage, and metadata tracking to improve discoverability and governance. - Design schemas and data models that support downstream AI and application workflows. - Build Streamlit applications for data exploration, visualization, and decision support, with a focus on showcasing processed, validated datasets. - Contribute data-related features and integrations back to AppHub when needed. - Operate independently on projects while collaborating closely with backend engineers, platform teams, and AI teams. Qualifications Required: - 5-7 years of professional data engineering experience. - Proven track record of delivering production-grade data workflows and architectures. - Strong skills in Python, Pandas, SQL, and at least one orchestration framework (Airflow, Prefect, Dagster, etc.). - Experience with database systems (SQL/NoSQL) and cloud storage solutions. - Comfortable engaging directly with customers in technical discussions and solution design. - Clear, concise technical communication skills. Nice to Have: - Experience in microelectronics or advanced manufacturing domains. - Exposure to BI tools and advanced data visualization techniques. - Experience with ML feature stores or analytics-focused data modeling. About the Company: At Multiscale Technologies, we are focused on revolutionizing the process of discovering and manufacturing innovative materials. Our team brings together world-class materials scientists, software engineers, and AI experts to drive industrial transformation. As a Series-A funded startup, Multiscale offers you the opportunity to have a direct impact on solving real-world engineering challenges.,
About the Company At Multiscale Technologies, we believe the future is driven by innovative materials but traditional approaches to discovering and manufacturing them are outdated and unsustainable. That's why we've developed cutting-edge technologies to revolutionize this process. We bring together world-class materials scientists, software engineers, and AI experts to build intelligent systems that drive industrial transformation. As a Series-A funded startup, Multiscale offers you the opportunity to make a direct impact at a fast-growing company solving real-world engineering challenges. About the Role We are looking for a Senior Software Engineer to join our Forward Deployed App Dev team. This is not a back-office coding job, you will work directly at client sites with domain experts to uncover requirements, prototype solutions, and deliver production-ready vertical AI applications using AppHub that solve complex, real-world problems. Most of your time will be spent creating high-impact apps on top of AppHub's framework, but you will also have the chance to contribute enhancements back into AppHub itself, improving the platform for all users. Most of your work will focus on building impactful applications on top of AppHub's framework. When needed, you will also contribute enhancements back into AppHub itself, improving the platform for future deployments. From gathering requirements and shaping architecture to development, deployment, and post-launch iteration, you will own solutions end to end. This role is ideal for someone who enjoys combining technical depth with architectural thinking and thrives in close collaboration with customers. Why you will want this job You will see the direct impact of your work in real production environments, often within days. You will work with domain experts in microelectronics and materials science, learning how AI can reshape their industries. You will have the autonomy to make technical decisions, the platform to move quickly, and the responsibility to deliver solutions that matter. What you will do Work directly with customer engineers and domain experts to understand requirements, design system architecture, and ensure smooth integration with their environments. Own applications from concept to production, balancing speed of delivery with scalability, security, and maintainability. Build solutions on AppHub, integrating backend APIs, data pipelines, and machine learning models into intuitive, user-facing applications. Enhance AppHub when platform-level improvements are needed, contributing new features and capabilities. Lead technical discussions, document key decisions, and set coding and design standards for projects you lead. Create quick prototypes in Streamlit or React to confirm concepts with customers, then evolve them into robust applications. Work closely with internal platform, AI, and UX teams to feed customer insights back into the product roadmap. Guide and mentor junior developers when part of larger project teams. What we are looking for 57 years of professional software engineering experience in backend or full-stack roles. Strong Python skills with experience in FastAPI or Flask. Solid understanding of SQL/NoSQL databases, API design, Docker, and Git. Experience with one of Cloud like Azure, AWS, and GCP A proven track record of designing and delivering production applications, including architecture and technology choices. Experience collaborating directly with customer engineering teams on delivery and integration. Excellent technical communication skills, with the ability to explain complex designs to both technical and non-technical audiences. Skills Must Have Python, FastAPI, REST API development, SQL, Git, ORM (SQLAlchemy/Django ORM), Docker, CI/CD pipelines, Cloud deployment (AWS/GCP). Preferred Skills JavaScript, React, Node.js, Kubernetes, Message queues (RabbitMQ, Kafka), Test-driven development, Microservices architecture.
Data Engineer, Forward Deployed Applications Location: Hyderabad, India (on-site at client location) Work Site: On-site Travel: 0–10% Role Type: Individual Contributor Employment Type: Full-time Job Description We are hiring a Data Engineer to build reliable data pipelines and infrastructure that support machine learning, analytics, and scientific applications. This role will enable downstream AI engineers and scientists to work efficiently with structured, validated, and high-quality data. The Role We are looking for a senior data engineer with 5–7 years of experience to join our Forward Deployed Applications team. This is a customer-facing, project-owning role, you will work directly with engineers and domain experts at client sites to explore raw datasets, design transformation workflows, and deliver production-ready pipelines. While your primary focus will be data architecture, exploration, and transformation, you will also build Streamlit applications to expose processed data in intuitive, usable ways. You will deliver your own projects end-to-end from discovery to deployment and work independently alongside backend engineers who focus more on application-heavy builds. Why you will want this job You will have a direct hand in turning messy, unstructured industrial data into actionable insights that power AI models and decision-making tools. You will be embedded with customer teams, influencing both the data foundation and the applications that depend on it. And you will see your work in production quickly, often within days or weeks. What you will do Partner with customer engineers and domain experts to understand data sources, quality challenges, and integration requirements. Design and build ETL/ELT workflows for structured and unstructured datasets, aligning them to analytics, ML, and simulation needs. Develop and maintain scalable data pipelines with orchestration tools like Airflow or Prefect. Create and maintain data validation, profiling, and observability systems. Build and maintain data cataloging, lineage, and metadata tracking to improve discoverability and governance. Design schemas and data models that support downstream AI and application workflows. Build Streamlit applications for data exploration, visualization, and decision support, with an emphasis on showcasing processed, validated datasets. Contribute data-related features and integrations back to AppHub when needed. Operate independently on projects while collaborating closely with backend engineers, platform teams, and AI teams. What we are looking for 5–7 years of professional data engineering experience. Proven track record of delivering production-grade data workflows and architectures. Strong skills in Python, Pandas, SQL, and at least one orchestration framework (Airflow, Prefect, Dagster, etc.). Experience with database systems (SQL/NoSQL) and cloud storage solutions. Comfortable engaging directly with customers in technical discussions and solution design. Clear, concise technical communication skills. Nice to Have Experience in microelectronics or advanced manufacturing domains. Exposure to BI tools and advanced data visualization techniques. Experience with ML feature stores or analytics-focused data modeling.