About DataVersion: DataVersion is an enterprise document intelligence platform that helps organizations turn unstructured documents into searchable, interactive knowledge systems powered by AI. Our mission is to make enterprise data discoverable, explainable, and actionable through an intuitive interface built on state-of-the-art language models and retrieval-augmented generation (RAG) Role Overview: Were looking for a Mid-Level Full Stack Engineer (or strong Frontend Engineer) who thrives at the intersection of modern web development and AI-driven applications. Youll help evolve the DataVersion platform building responsive, scalable interfaces and robust integrations across Next.js, Supabase, and AI components like LangChain and Pinecone. This role is perfect for someone who is deeply fluent in React and TypeScript, experienced in Next.js (App Router), and comfortable working across the stack when needed (API routes, Supabase, vector stores). Key Responsibilities: Build and maintain modern, high-performance UIs using React 19, Next.js 15 (App Router), and TypeScript. Collaborate with designers to translate Figma specs into pixel-perfect, accessible, and performant components using Tailwind CSS and Shadcn/ui. Integrate with Supabase for authentication, database, and storage flows. Work with backend APIs that connect to LangChain, Pinecone, and OpenAI for AI-powered document interactions. Contribute to building scalable, reusable front-end components and hooks. Help maintain and improve state management with Zustand and React Query. Collaborate with the AI and backend team to deliver seamless chat and retrieval experiences. Participate in code reviews, documentation, and architectural discussions. Required Skills & Experience: 3-6 years of professional software development experience. Strong proficiency in React, Next.js, and TypeScript. Experience with Tailwind CSS and component-based design systems (Shadcn/UI, Radix, etc.). Comfortable with frontend architecture, state management (Zustand, React Query), and API integration. Familiarity with Supabase or equivalent backend-as-a-service (Firebase, Hasura). Understanding of REST APIs, serverless functions, and SSR/SSG concepts. Strong collaboration skills and ability to work with designers, AI engineers, and product managers. Passion for building beautiful, functional, and data-driven interfaces. Nice-to-Have: Experience with LangChain, OpenAI, or vector databases (Pinecone, Weaviate, etc.). Familiarity with RAG pipelines or AI chat systems. Understanding of AWS S3, PostgreSQL, or general cloud architectures. Interest in data visualization, enterprise UX, or document workflows. Prior experience contributing to enterprise SaaS or B2B platforms.
About DataVersion: DataVersion is an enterprise document intelligence platform that helps organizations turn unstructured documents into searchable, interactive knowledge systems powered by AI. Our mission is to make enterprise data discoverable, explainable, and actionable through an intuitive interface built on state-of-the-art language models and retrieval-augmented generation (RAG). Role Overview: We are looking for a hands-on Lead Software Engineer to architect and develop intelligent, scalable, and resilient system. Youll lead, design and implement distributed microservices, AI-driven applications, and autonomous agentic workflows on AWS. This is a hands-on leadership role that combines deep technical expertise with architectural vision perfect for someone who thrives on solving complex problems with cutting-edge technologies. Key Responsibilities Architect and implement scalable, secure microservice architectures on AWS. Design and deploy agentic AI workflows that connect LLMs, APIs, and automation layers. Lead efforts around SOC 2-compliant design, data protection, and security best practices. Collaborate with the team to iterate fast and deploy confidently. Set engineering standards around observability, CI/CD, and secure coding. Mentor engineers and contribute to a culture of technical excellence Required Skills & Experience 7+ years in software engineering; 2+ in a lead or architectural role. Strong background in distributed systems, API design, and AWS cloud architecture to build enterprise SaaS platforms. Proven experience with SOC 2, security-by-design principles, and compliant coding practices. Deep knowledge of AWS services (ECS/EKS, Lambda, S3, IAM, PostgresSQL). Expertise in microservices, event-driven design, and containerized deployments. Hands-on experience with AI/ML systems or LLM-based applications. You think systemically, code responsibly, and automate everything. Preferred Skills & Experience Experience with LangChain, OpenAI and vector databases (Pinecone, Weaviate, Chroma). Deep understanding of infrastructure as code (Terraform, CDK) and DevSecOps. Building or scaling serverless applications. Startup experience you know how to move fast without breaking trust.
About DataVersion: DataVersion is an enterprise document intelligence platform that helps organizations turn unstructured documents into searchable, interactive knowledge systems powered by AI. Our mission is to make enterprise data discoverable, explainable, and actionable through an intuitive interface built on state-of-the-art language models and retrieval-augmented generation (RAG). Role Overview: We're looking for a Mid-Level Backend Engineer to help build the core systems behind our AI platform. You'll design scalable APIs, cloud microservices, and secure backend workflows that connect data and intelligent agents. It's a hands-on role for someone who loves solving hard problems, shipping fast, and building clean, reliable systems in a startup environment. Key Responsibilities: Build and maintain secure, scalable backend services and microservices on AWS Work closely with our AI and product teams to integrate LLMs, APIs, and data workflows. Contribute to system design, database schemas, and service orchestration. Implement and maintain SOC 2 compliant practices across code and infrastructure. Write high-quality, testable code with strong observability and monitoring. Optimize for performance, cost, and developer experience. Required Skills & Experience 3-6 years of backend development experience (Python, Node.js, Go, or similar). Solid understanding of microservice architecture, REST/GraphQL APIs, and distributed systems. • Hands-on experience with AWS (Lambda, ECS/EKS, API Gateway, S3). Familiarity with containerization (Docker, Kubernetes) and CI/CD pipelines. Understanding of data security and SOC 2 compliant development. Curiosity about AI/ML systems or willingness to learn how to build with them. Preferred Skills & Experience: Experience with AI workflow orchestration or LLM integrations (OpenAI, LangChain, etc.). Familiarity with vector databases (Pinecone, Weaviate, Chroma). Knowledge of infrastructure as code (Terraform, CDK). Startup experience or comfort working in fast-paced, evolving environments.