Senior Fullstack Engineer - Legal AI Platform

Build the future of legal tech with Evatt AI. Own the development of new features across the stack, collaborate with a growing in-person Bangalore, India based team and deliver high‑quality software on time and on budget. Long‑term contributors may be offered relocation to Australia.

A scale‑up that has spent the last two years making advanced legal reasoning accessible through natural language. Our platform combines search, vector databases and large language models to provide lawyers with instant access to case law and legislation. We’re now expanding rapidly: adding a legal research casebase (similar to AustLII/Jade.io), agentic workflows, legal practice management and Microsoft Word integrations to create an all‑in‑one legal workplace platform with the AI capabilities of Harvey and the casebase power of Lexis AI+. To help us achieve this, we’re looking for a Senior Software Engineer who can act autonomously while working closely with other developers and our Head of Engineering.

· High autonomy: You’ll own end‑to‑end development of features—from design and architecture through implementation, testing and deployment—while collaborating closely with your teammates.

· Broad technical exposure: Contribute across the full stack: Next.js 15 + React 19 + Tailwind CSS on the frontend; Node.js/TypeScript/Drizzle ORM and Python 3.11+/FastAPI on the backend; vector databases and RAG pipelines for search and AI; and DevOps practices for deployment and CI/CD.

· Collaborative environment: Join a small, high‑trust team where your work is visible and valued. You’ll work directly with the Head of Engineering and other engineers to ship features on time and on budget.

· Design and implement features for new modules including legal research casebase search, agentic workflows, practice management tools and Word integrations.

· Develop and maintain data ingestion and retrieval pipelines, embedding legal documents into vector databases (Pinecone/Qdrant/Milvus) and integrating LLMs for natural‑language search.

· Collaborate with the team: Coordinate with other engineers to ensure smooth integration across the stack, maintain code quality and deliver projects on schedule and within budget.

· Contribute to DevOps: Maintain Dockerized development environments, CI/CD pipelines (GitHub Actions) and deployments to Railway or similar PaaS.

· Write clean, well‑documented code: Deliver reliable software with appropriate testing, documentation and performance optimisation.

· 8-10 years of professional software engineering experience, ideally in high‑autonomy or startup environments.

· Strong proficiency in JavaScript/TypeScript, React/Next.js, Node.js and Python (FastAPI/Pydantic).

· Experience with database technologies (PostgreSQL, MySQL) and ORMs (Drizzle ORM or similar).

· Familiarity with vector databases, Graph Databases and retrieval‑augmented generation pipelines; ability to integrate LLMs like OpenAI or Anthropic into products.

· Competence with DevOps tools: Docker, Docker Compose, GitHub Actions and cloud deployment (Railway or similar).

· Ability to use AI effectively in product development process without creating tech debt.

· Experience building legal knowledge systems or search engines.

· Familiarity with LangChain, LlamaIndex or other open‑source RAG frameworks.

· Knowledge of Elasticsearch, Weaviate or other advanced retrieval systems.

· Experience with prompt engineering, model orchestration or performance tuning.

· Previous work on legal tech, fintech or enterprise SaaS products.

· Ownership & accountability: You take initiative, manage your own projects and deliver quality work without constant supervision.

· Collaboration & communication: You enjoy working with others, can clearly articulate your ideas and are open to feedback and iteration.

· Quality & reliability: You prioritise writing maintainable code and care about testing and user experience.

· Curiosity & growth mindset: You’re excited to learn new technologies (e.g., vector search, LLMs) and contribute to a fast‑evolving legal AI platform.

· High‑impact work: Your contributions will directly influence the direction of our platform and the legal industry.

· Competitive compensation: Monthly rate scales with experience; includes paid holidays and flexible working arrangements.

· Learning & growth: Gain hands‑on experience with RAG pipelines, vector databases, AI models and large‑scale data ingestion; grow alongside a scaling team.