Founding Engineer

• *This role is for one of our clients**

Industry: Software Development

Seniority level: Mid\-Senior level

Min Experience: 6\+ years

Location: Bengaluru

JobType: full\-time

• *WHY THIS ROLE**

• **High autonomy \& ownership:** Own features end\-to\-end — from design and architecture through implementation, testing and deployment — with real say over product direction.
• **Broad technical exposure:** Work across the full stack — Next.js 15 \+ React 19 \+ Tailwind on the frontend; Node.js/TypeScript/Drizzle ORM and Python 3\.11\+/FastAPI on the backend; vector databases and RAG pipelines for AI search; plus DevOps for deployment and CI/CD.
• **Collaborative environment:** Join a small, high\-trust, onsite team where your work is visible and valued, working directly with the Head of Engineering and other engineers.

• *RESPONSIBILITIES**

• Design and implement features for new modules — 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.
• Coordinate with other engineers to ensure smooth integration across the stack, maintain code quality, and deliver on schedule and within budget.
• Contribute to DevOps — maintain Dockerized environments, CI/CD pipelines (GitHub Actions) and deployments to Railway or similar PaaS.
• Write clean, well\-documented, reliable code with appropriate testing and performance optimisation.

• *TECHNICAL REQUIREMENTS**

• 7–10 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 (OpenAI, Anthropic) into products.
• Competence with DevOps tools: Docker, Docker Compose, GitHub Actions and cloud deployment (Railway or similar).
• Ability to use AI effectively in the product development process without creating tech debt.

• *BONUS SKILLS (NICE\-TO\-HAVE)**

• 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.

• *WHAT WE’RE LOOKING FOR**

• **Ownership \& accountability:** You take initiative, manage your own projects and deliver quality work without constant supervision.
• **Collaboration \& communication:** You work well with others, articulate ideas clearly and stay open to feedback and iteration.
• **Quality \& reliability:** You prioritise maintainable code and care about testing and user experience.
• **Curiosity \& growth mindset:** You’re excited to learn new technologies (vector search, LLMs) and contribute to a fast\-evolving legal AI platform.

• *BENEFITS**

• **High\-impact work:** Your contributions directly influence the direction of the platform and the legal industry.
• **Competitive compensation:** Scales with experience; includes paid holidays and flexible working arrangements.
• **Learning \& growth:** Hands\-on experience with RAG pipelines, vector databases, AI models and large\-scale data ingestion — growing alongside a scaling team.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.