Job Title

Build the Enterprise Intelligence Layer Location: Mumbai (Malad) Experience: 3 – 7 Years Education: Masters or Bachelor’s degree in CS, AI, or Math – from the top institutions. Job Type: Full-Time | Work from Office (Mon–Fri Mandatory) About PristineAI At PristineAI, we are building a proprietary enterprise Intelligence Layer that unifies systems, databases, agents, spreadsheets, policies, and workflows into a self-improving AI platform. Our Agentic platform helps large corporations to transform into AI-Enabled enterprise – with deterministic and explainable outcomes, with zero hallucination. With our platform enterprises unify their existing assets and build new capabilities - in plain English. We are not building demos or PoCs. We are building production-grade enterprise AI platform — fast. What You Will Do - Design and build production-grade AI systems, end-to-end - Architect Retrieval → Reasoning → Action pipelines - Implement and optimize RAG-based systems - Work hands-on with LLMs, embeddings, and vector databases - Integrate AI systems with enterprise APIs - Deploy scalable solutions on Azure - Own delivery from problem definition to production rollout You will make architectural decisions and see your solutions deployed in enterprise settings. Technical Expertise Required Engineering - Strong production-level Python - API design (FastAPI / Flask or similar) - Microservices & distributed systems - Clean, modular architecture - Writing maintainable, testable code AI / ML Fundamentals - Optimization (gradient descent, regularization) - Model evaluation rigor - Statistical inference - Ability to diagnose model failure modes LLM & GenAI Systems (Hands-On Experience Required) - RAG architecture - Embeddings & semantic search - Vector databases (FAISS / Pinecone / Azure AI Search or similar) - Prompt evaluation & hallucination mitigation - Structured outputs & guardrails - Cost & latency optimization You must have shipped at least one real AI feature to production. Data & Deployment - Strong SQL and data modeling - ETL/ELT understanding - Azure deployment experience - Docker + CI/CD - Monitoring & observability What Makes You Elite - You think from first principles - You take responsibility for the solution quality and delivery time frame - You break ambiguous enterprise problems into structured systems - You choose tools intentionally — not by trend - You move fast without sacrificing architectural quality Work Environment - A team that is obsessed with creating an industry defining enterprise AI platform - Everyday work from office — Malad short commute preferred) - High-intensity, high-ownership startup culture - Rapid iteration cycles - Deep technical discussions - Direct enterprise exposure - Competitive compensation - 2 weeks annual learning leave. We are building serious enterprise AI systems. If you want to architect and ship meaningful AI at scale, we should talk. Compensation Competitive and aligned with top-tier AI talent. Indicative range: INR 25–60 LPA, based on demonstrated capability. Application Process Interested candidates may apply by sharing their updated resume along with academic transcripts to: career@. (Mandatory) Shortlisted candidates will be contacted for the next steps.