Supaboard
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React.jsJob Title: Frontend Developer
Location: Bengaluru
Experience Level: Minimum 1 year
Employment Type: Full-time with probation
About the company
Supaboard is an AI-powered business intelligence platform that helps teams turn scattered data into clear, actionable insights without needing deep technical skills. The product connects to multiple data sources, lets users ask questions in plain English, and delivers instant dashboards and reports so businesses can make faster, smarter decisions.
Culture and ownership
Supaboard runs as a high-ownership, low-ego environment where every engineer is treated as a product owner, not just a ticket closer. Frontend developers are expected to own problems end-to-end—understanding the user, shaping the solution, implementing it, measuring impact, and iterating quickly based on real-world usage.
Role overview
As a Frontend Developer at Supaboard, you will build modern, performant interfaces that make complex analytics feel simple and intuitive for non-technical users. You will work closely with founders, designers, and backend engineers, owning key parts of the product experience from concept to production. This role is ideal for someone who wants meaningful product ownership, fast feedback loops, and the opportunity to shape the core product early.
Responsibilities
- Build and maintain responsive, high-quality frontend features using React and TypeScript.
- Take end-to-end ownership of user-facing workflows: understand user needs, propose UX flows, implement, and iterate based on feedback and data.
- Collaborate with design and backend teams to ship smooth, coherent product experiences rather than isolated components.
- Continuously improve performance, reliability, and usability of the app with a focus on perceived speed and UX.
- Participate in code reviews, technical discussions, and roadmap conversations, bringing product-thinking to engineering decisions.
Required skills
- Strong proficiency in React, React Query, TypeScript, HTML5, Tailwind and CSS3.
- Familiarity with Monorepos.
- Experience working with Node.js-based backends and RESTful APIs.
- Familiarity with modern frontend tooling (e.g., Vite/Bun, package managers, linting and formatting tools).
- Solid understanding of component-driven development, state management, and reusable UI patterns.
- Ability to take a problem statement, break it down, and drive it to completion with minimal supervision.
Nice to have
- Exposure to testing tools such as Jest, Testing Library, or Cypress.
- Experience in data-heavy products, dashboards, or BI/analytics tools.
- Understanding of accessibility best practices and performance profiling.
Qualifications
- 1+ year of professional experience in frontend development (internships and full-time roles both count).
- A portfolio, GitHub, or project links that demonstrate your ability to ship real-world frontend work.
Why join Supaboard
- Direct impact and ownership on core product surfaces used by real customers.
- Work closely with the founding team on product and technical decisions from the ground up.
- Opportunity to grow into a lead/ownership role as the company and team scale.
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
PythonAI Engineer – Supaboard.ai
Location: Bengaluru, India (On-site, 5 days a week)
Experience Level: 2–5 years
Compensation: ₹8 – ₹16 LPA
Tech Stack: Python, TypeScript, OpenAI/Anthropic APIs, Hugging Face, Vector DBs
Employment Type: Full-time, In-office
About Supaboard.ai
Supaboard.ai is building an intelligent data analytics platform powered by modern AI systems, enabling teams to transform their raw data into dashboards, insights, and automations—instantly.
We combine analytics, automation, and AI into a single powerful engine used by fast-growing teams.
We’re looking for an AI Engineer who loves working with models, fine-tuning, LLM orchestration, and building AI-driven features that scale.
Key Responsibilities
- Fine-tune open-source LLMs (e.g., Llama, Mistral, T5, Qwen) for internal use cases like text classification, summarization, extraction, and agent workflows.
- Develop, test, and optimize prompt engineering strategies for production use-cases.
- Build and maintain pipelines for training, evaluating, and deploying custom AI models.
- Integrate models with Supaboard’s backend using Python, TypeScript, and cloud-based AI platforms.
- Work with libraries like Hugging Face Transformers, LangChain, OpenAI, Gemini, Anthropic, and vector databases (Pinecone/Weaviate).
- Create high-accuracy evaluation datasets and design automated evaluation harnesses.
- Optimize performance, latency, and reliability of AI-powered features in production.
- Collaborate with product, engineering, and data teams to design and implement AI-driven product features.
Requirements
- Strong proficiency in Python (must) and basic experience with TypeScript (preferred).
- Solid understanding of LLMs, embeddings, tokenization, model architectures, and NLP pipelines.
- Prior experience fine-tuning or training open-source models using PyTorch, Hugging Face, or similar frameworks.
- Experience calling and orchestrating external LLM APIs (OpenAI, Anthropic, Google Gemini, etc.).
- Ability to design prompts, tune them, and create deterministic and reliable chains/flows.
- Hands-on experience with vector databases (Pinecone, Weaviate, Chroma) and retrieval pipelines.
- Familiarity with cloud environments (AWS/GCP) and deploying AI workloads.
- Good understanding of evaluation metrics and experiment tracking (W&B or similar).
- Strong debugging skills and an ownership-driven mindset.
Nice to Have
- Experience building agents, tool-calling workflows, and multi-model pipelines.
- Knowledge of distributed training, quantization (GGUF/GGML), or optimization techniques (LoRA, QLoRA, PEFT).
- Experience building AI-based features for data analytics or SaaS products.
- Familiarity with FastAPI or Node-based backend services.
Why Supaboard.ai?
- Build a core part of India’s next-gen AI analytics platform.
- Work with cutting-edge open-source AI models and real-world production workloads.
- Massive ownership, high impact, and a fast-paced startup environment.
- A culture that rewards learning, curiosity, and technical growth.
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