Job Title

Solution Engineer – Enterprise AI EnablementBuild the Enterprise Intelligence LayerLocation:Mumbai (Malad) Experience:3 – 7 Years Education:Master’s or Bachelor’s in Computer Science / Software Engineering Job Type:Full-Time | Work From Office (Mon–Fri Mandatory)Build AI Infrastructure That Lets Enterprises Think and Operate in EnglishAtPristineAI , we are building — an AI platform that enables large corporations to unify their systems, databases, policies, spreadsheets, Agents and workflows into a self-improving AI platform. Our platform will help large enterprises build their proprietaryEnterprise Intelligence Layerand produce deterministic, explainable, zero hallucination outcomes. We are not building demos or PoCs. Not wrappers. Not superficial integrations.This is deep systems engineering — focused on architecture, correctness, and long-term scalability.We are hiring engineers who want to build the core infrastructure that makes AI-enabled enterprises feasible.What You Will Build • Automated enterprise vocabulary & ontology builders • Semantic cross-referencing engines across databases, codebases & documents • Automated code slicing, transformation & modernization pipelines • Compiler-like analysis frameworks for enterprise software • Enterprise API registries & system discovery engines •Deterministic orchestration layers for AI workflows •Production-grade backend systems that support Retrieval → Reasoning → ActionTechnical Strength Required Core Computer Science •Strong data structures & algorithms •Deep understanding of compilers, parsing, ASTs, static analysis •Program analysis or code transformation experience •Strong grasp of system design & distributed systemsProduction Engineering Strong proficiency in Python / .NET / Node.js (at least one deeply) Clean, modular system architecture Microservices & API design CI/CD, Docker, deployment pipelines Writing testable, maintainable code Strong SQL and data modeling You must have built systems that are running in production.Enterprise Systems Awareness Experience working with large legacy systems Understanding of Oracle databases Cross-platform engineering (Windows + Linux Cloud exposure (Azure preferred)What Makes You Elite • You think from first principles • You enjoy reading RFCs and compiler documentation • You design systems that last 5+ years • You can reason about abstraction layers clearly • You are comfortable with complexity — and know how to tame it • You prefer correctness over hype • You want to build foundational technology, not featuresWork 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 assembling a strong engineering team to build enterprise-grade AI infrastructure. If it’s you – apply.Compensation Competitive and aligned with top-tier talent. Indicative range: INR 20–35 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.