About Pandita AI Solutions Pandita AI is a Palo Alto–based startup building domain-specialized foundation models , multimodal agents, and automation tools to solve real-world problems in science, enterprise, and industrial systems. With a thriving AI engineering division in Mysore , we build both internal tools and client-facing demos that demand intuitive, elegant, and scalable interfaces. We are looking for a UX/UI & Product Designer who can self-direct product thinking — using tools like ChatGPT, Grok, and internal LLMs as a replacement for traditional product management roles . You will partner directly with researchers and engineers to ship UI/UX for AI demos and interfaces — without waiting on long product specs. Role Overview This hybrid role blends visual storytelling, interactive UI development, and autonomous product thinking . You will: Use tools like ChatGPT, Deep Research, and Grok to perform tasks typically handled by a PM — including market research, user stories, feature discovery, and prototyping support. Build and deploy Streamlit apps and dashboards that demonstrate our AI capabilities. Design presentations and visual assets that translate technical research into clean, shareable narratives. Collaborate directly with AI SMEs, founders, and engineers to rapidly iterate and deploy designs into production demos . Key Responsibilities Act as your own product owner by using GenAI tools to: Research feature ideas, competitors, and best UX practices Write user stories and flows Create content for UI and slides Simulate user feedback or edge case testing Design elegant slides and pitch decks for client meetings, investor talks, and internal explainers. Develop and style Streamlit-based UI components to showcase internal and external AI workflows. Work with engineering to deploy and maintain hosted demos via Streamlit Cloud or custom endpoints. Collaborate with AI researchers and SMEs to understand core systems and visualize their capabilities. Minimum Qualifications Bachelor’s or Master’s degree in UI/UX Design, Product Design, HCI, or Computer Science. Proficient in design tools: Figma, Canva, Adobe Illustrator , or similar. Strong portfolio showing slides, Streamlit apps, dashboards, or visual interfaces for tech products . Hands-on experience with Streamlit or Python-based web UIs . Demonstrated ability to use tools like ChatGPT, Claude, or Grok to drive product ideation, writing, and workflow creation. Experience collaborating with engineers and researchers in high-velocity environments Preferred Qualifications Familiarity with LLM or GenAI-based tooling and prompt workflows. Basic understanding of API integration , cloud deployment (Streamlit Cloud, AWS), and version control. Comfort working without traditional product management layers — autonomous, curious, self-driven . What We Offer High-autonomy role in a PM-light, AI-first product environment . Work with AI leaders and SMEs shaping the future of intelligent software systems. Full ownership of design and UX decisions across demos, tools, and customer-facing apps. Competitive compensation, ESOPs , and a collaborative, engineering-driven culture in Mysore . Access to compute infrastructure, research-grade tools, and the chance to work on frontier GenAI applications.
About Pandita AI Solutions Pandita AI Solutions is a rapidly growing AI startup with headquarters in Palo Alto, CA and a thriving engineering division in Mysore, India . We are pioneers in developing generative AI systems, foundation models, and multimodal applications that solve real-world problems across industries like healthcare, scientific computing, and document intelligence. We’re now looking to automate our internal operations using cutting-edge agentic AI and LLM-driven tools. This effort will be led by the founding team in close collaboration with a dedicated Generative AI Engineer , who will help implement intelligent automation — and later scale it for external clients and products . Key Responsibilities Work closely with the leadership team to map internal processes that can benefit from AI-based automation (e.g., document handling, research synthesis, client onboarding, code generation, workflow orchestration). Build internal tools using LLMs and agent frameworks (LangChain, OpenAI Functions, AutoGen, CrewAI, etc.) for semi-autonomous task execution. Prototype, test, and refine agentic applications that integrate with internal systems (e.g., Notion, Slack, GitHub, Airtable, email, databases). As the automation matures internally, support the transition to external automation offerings for clients across domains. Maintain a portfolio of your work in GitHub, and contribute reusable components to the broader engineering team. Minimum Qualifications Master’s degree in Computer Science, AI, Data Science, or a related technical field. Solid programming skills in Python and experience building backend services, APIs, or automation tools. Demonstrated ability to build and maintain agent-based apps using tools like LangChain, CrewAI, LlamaIndex , or custom orchestration frameworks. A strong GitHub portfolio of previous automation projects or agentic AI applications (personal or professional). Familiarity with REST APIs, cloud services (AWS/GCP), and tools like Docker, FastAPI, or Streamlit. Preferred Qualifications Experience integrating LLMs with external APIs and multi-step workflows (e.g., form parsing + summarization + ticket generation). Familiarity with tools like Zapier , Make , Airflow , or custom workflow engines . Understanding of retrieval-augmented generation (RAG) , embeddings, and prompt engineering best practices. Publications in International conferences such as IEEE, ICML, NIPS Entrepreneurial mindset with a willingness to explore ambiguous spaces and iterate rapidly. What We Offer A unique opportunity to work directly with founders and AI researchers on defining the next era of automation. A fast-paced, early-stage startup culture with a focus on delivery, ownership, and learning . ESOPs , competitive compensation, and access to high-end compute infrastructure. Long-term growth opportunity to lead automation efforts both internally and across external enterprise deployments .
Pandita AI is a rapidly growing Applied AI startup headquartered in Palo Alto, California , with an Applied AI division based in Mysore, India . We specialize in building domain-specific LLMs , multimodal generative systems , and agentic workflows for real-world problems across scientific computing, document intelligence, and industrial automation. We are looking for a Generative AI Applied Scientist to join our core research team in Mysore. This is a high-impact, high-ownership role for those who thrive at the intersection of deep research , problem discovery , and real-world deployment . Key Responsibilities Proactively identify high-value problem areas where generative AI can deliver measurable impact. Translate ambiguous or emerging needs into well-defined ML tasks and deliver production-grade solutions . Design and develop custom generative models (e.g., Transformers, LLMs, Diffusion Models, VAEs). Own the end-to-end lifecycle of model development — from prototyping to cloud/API deployment . Good communication skills that involve being able to talk to customers, identify problem statements, and communicate impactful results. Collaborate across research, product, and engineering teams to embed generative AI into vertical solutions. Required Qualifications PhD or Masters with Thesis and 5+ years in Computer Science, Machine Learning, AI, or a closely related field. Strong research track record with publications in top-tier conferences (e.g., IEEE TPAMI, CVPR, ICML, ICLR, NeurIPS, ACL ). Expertise in deep generative models , representation learning , and probabilistic methods . Experience in building models that solve real-world problems and can be scaled into production systems . Fluency in Python and modern ML stacks (e.g., PyTorch, JAX, Hugging Face). Willingness to work onsite in Mysore and collaborate across time zones with the US-based HQ. Involves travel about 25-50% to client locations. Preferred Qualifications Experience in LLM fine-tuning , multimodal systems , or diffusion-based generation . Familiarity with retrieval-augmented generation , causal inference , or workflow agents . Experience deploying models via Docker, ONNX, or cloud-native APIs (AWS/GCP). A track record of discovering novel application areas and developing first-of-their-kind solutions. What We Offer A fast-paced startup environment backed by cutting-edge research and global customers. ESOPs/Equity and competitive compensation. Access to high-performance compute (A100s, H100s), internal datasets, and modern MLOps tooling. Clear runway for career growth , technical leadership , and IP ownership . A collaborative and ambitious team working on some of the most important problems in applied AI — from Mysore and Palo Alto .
You will be joining Pandita AI, a startup based in Palo Alto, dedicated to developing specialized foundation models, multimodal agents, and automation tools to tackle real-world challenges across various sectors such as science, enterprise, and industrial systems. The company's AI engineering division in Mysore is thriving, focusing on creating intuitive, elegant, and scalable interfaces for both internal tools and client-facing demonstrations. As a UX/UI & Product Designer at Pandita AI, you will have the opportunity to take charge of product thinking using innovative tools like ChatGPT, Grok, and internal LLMs to replace traditional product management responsibilities. Your role involves collaborating closely with researchers and engineers to deliver UI/UX solutions for AI demonstrations and interfaces promptly, without the need for extensive product specifications. In this dynamic position, you will blend visual storytelling, interactive UI development, and independent product ideation. Your responsibilities will include utilizing tools like ChatGPT, Deep Research, and Grok to handle tasks typically managed by a Product Manager, conducting market research, defining user stories, discovering features, and supporting prototyping efforts. Additionally, you will design and launch Streamlit apps and dashboards showcasing the company's AI capabilities and create compelling presentations and visual assets that simplify technical research into engaging narratives. As an autonomous product owner, you will be responsible for researching feature ideas, analyzing competitors, and implementing best UX practices, crafting user stories and flows, developing content for UI and presentations, simulating user feedback, and designing polished slides and pitch decks for various purposes. You will also collaborate with AI researchers and subject matter experts to comprehend core systems and visualize their functionalities effectively. To qualify for this role, you should hold a Bachelor's or Master's degree in UI/UX Design, Product Design, HCI, or Computer Science. Proficiency in design tools such as Figma, Canva, Adobe Illustrator, or similar software is essential. A strong portfolio showcasing your work on slides, Streamlit apps, dashboards, or visual interfaces for tech products is required, along with hands-on experience in Streamlit or Python-based web UIs. Demonstrated expertise in leveraging tools like ChatGPT, Claude, or Grok for driving product ideation, writing, and workflow creation, as well as experience collaborating with engineers and researchers in fast-paced environments, are also crucial. Preferred qualifications include familiarity with LLM or GenAI-based tools and prompt workflows, a basic understanding of API integration, cloud deployment (Streamlit Cloud, AWS), and version control, and comfort working autonomously in a high-velocity environment, driven by curiosity. Joining Pandita AI offers you a high-autonomy role in an AI-first product setting with minimal involvement of traditional product management layers. You will collaborate with AI leaders and subject matter experts, contributing to the future of intelligent software systems. The role provides you with full ownership of design and UX decisions across demos, tools, and customer-facing applications, along with competitive compensation, ESOPs, and a collaborative, engineering-driven culture in Mysore. Additionally, you will have access to cutting-edge compute infrastructure, research-grade tools, and the opportunity to work on pioneering GenAI applications.,
Pandita AI is a rapidly growing Applied AI startup headquartered in Palo Alto, California, with an Applied AI division based in Mysore, India. We specialize in building domain-specific LLMs, multimodal generative systems, and agentic workflows for real-world problems across scientific computing, document intelligence, and industrial automation. We are seeking a Generative AI Applied Scientist to join our core research team in Mysore. This role is ideal for individuals who excel at the intersection of deep research, problem discovery, and real-world deployment, offering high-impact opportunities and ownership. Key Responsibilities Proactively identify high-value problem areas where generative AI can deliver measurable impact. Translate ambiguous or emerging needs into well-defined ML tasks and deliver production-grade solutions. Design and develop custom generative models (e.g., Transformers, LLMs, Diffusion Models, VAEs). Own the end-to-end lifecycle of model development from prototyping to cloud/API deployment. Possess good communication skills to engage with customers, identify problem statements, and communicate impactful results. Collaborate across research, product, and engineering teams to embed generative AI into vertical solutions. Required Qualifications PhD or Masters with Thesis and 5+ years in Computer Science, Machine Learning, AI, or a closely related field. Strong research track record with publications in top-tier conferences (e.g., IEEE TPAMI, CVPR, ICML, ICLR, NeurIPS, ACL). Expertise in deep generative models, representation learning, and probabilistic methods. Experience in building models that solve real-world problems and can be scaled into production systems. Fluency in Python and modern ML stacks (e.g., PyTorch, JAX, Hugging Face). Willingness to work onsite in Mysore and collaborate across time zones with the US-based HQ. Involves travel about 25-50% to client locations. Preferred Qualifications Experience in LLM fine-tuning, multimodal systems, or diffusion-based generation. Familiarity with retrieval-augmented generation, causal inference, or workflow agents. Experience deploying models via Docker, ONNX, or cloud-native APIs (AWS/GCP). A track record of discovering novel application areas and developing first-of-their-kind solutions. What We Offer A fast-paced startup environment backed by cutting-edge research and global customers. ESOPs/Equity and competitive compensation. Access to high-performance compute (A100s, H100s), internal datasets, and modern MLOps tooling. Clear runway for career growth, technical leadership, and IP ownership. A collaborative and ambitious team working on some of the most important problems in applied AI from Mysore and Palo Alto.,
Pandita AI Solutions is a rapidly growing AI startup headquartered in Palo Alto, CA, with a thriving engineering division in Mysore, India. We specialize in developing generative AI systems, foundation models, and multimodal applications to address real-world challenges in various industries such as healthcare, scientific computing, and document intelligence. We are currently seeking a dedicated Generative AI Engineer to spearhead the automation of our internal operations using cutting-edge agentic AI and LLM-driven tools. In collaboration with the founding team, the selected candidate will play a crucial role in implementing intelligent automation and subsequently expanding it to benefit external clients and products. Key Responsibilities: - Collaborate closely with the leadership team to identify internal processes suitable for AI-based automation, including document handling, research synthesis, client onboarding, code generation, and workflow orchestration. - Develop internal tools utilizing LLMs and agent frameworks such as LangChain, OpenAI Functions, AutoGen, CrewAI, among others, to facilitate semi-autonomous task execution. - Prototype, test, and enhance agentic applications that seamlessly integrate with internal systems like Notion, Slack, GitHub, Airtable, email, and databases. - Support the evolution of internal automation capabilities towards providing external automation solutions to clients across different domains. - Maintain a comprehensive portfolio of your work on GitHub and contribute reusable components to the broader engineering team. Minimum Qualifications: - Bachelor's/Master's degree in EE, Mechanical Engineering, Applied Mathematics, Computer Science, or a related technical field. - Proficiency in Python programming and experience in developing backend services, APIs, or automation tools. - Demonstrated expertise in building and managing agent-based applications using tools like LangChain, CrewAI, LlamaIndex, or custom orchestration frameworks. - Strong GitHub portfolio showcasing previous automation projects or agentic AI applications, whether personal or professional. - Familiarity with REST APIs, cloud services (AWS/GCP), and tools like Docker, FastAPI, or Streamlit. Preferred Qualifications: - Hands-on experience in integrating LLMs with external APIs and multi-step workflows, such as form parsing, summarization, and ticket generation. - Knowledge of tools like Zapier, Make, Airflow, or custom workflow engines. - Understanding of retrieval-augmented generation (RAG), embeddings, and best practices in prompt engineering. - Publications in renowned international conferences like IEEE, ICML, NIPS. - Entrepreneurial mindset with a readiness to explore ambiguous territories and iterate quickly. What We Offer: - An exceptional opportunity to collaborate directly with founders and AI researchers in shaping the future of automation. - A dynamic, fast-paced startup environment that emphasizes delivery, ownership, and continuous learning. - Employee Stock Ownership Plans (ESOPs), competitive compensation, and access to cutting-edge compute infrastructure. - Long-term prospects for professional growth to lead automation initiatives internally and in external enterprise deployments.,