Solution Engineer – Enterprise AI Enablement

Solution Engineer – Enterprise AI Enablement

Build the Enterprise Intelligence Layer

Location:

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 English

At  Pristine

AI , 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 proprietary  Enterprise Intelligence Layer  and 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 → Action

Technical 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 systems

Production 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 features

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 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:  (Mandatory)
Shortlisted candidates will be contacted for the next steps.