AI Solution Engineer - Enterprise AI Enablement

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 Pristine

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