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the future is driven by innovative materials — but traditional approaches to discovering and manufacturing them are outdated and unsustainable.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the future is driven by innovative materials — but traditional approaches to discovering and manufacturing them are outdated and unsustainable.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%