About The Job

Company Description

MAVIP Group is a global Go-to-Market (GTM) consulting and execution agency helping brands achieve growth through strategic marketing, customer acquisition, and market expansion. With a presence in key regions including the UAE, India, KSA, Kenya, Georgia, and the USA, MAVIP delivers measurable business impact by integrating strategy, creativity, and technology. The company offers a comprehensive suite of services, including marketing, events, media, research, and sales enablement, to support brands in achieving their business goals. At MAVIP, our approach is guided by the philosophy: "Your Success, Our North Star."

Role Description

MAVIP is building AI-native and IT-native tools that power go-to-market intelligence, research, identity verification, automation, and internal platforms.

We are looking for a hands-on AI engineer who can design, build, and ship real AI-powered tools, not just experiments or academic models.

This role sits at the intersection of AI, backend engineering, and product thinking.

Key Responsibilities

AI Tool & Feature Development

Build AI-powered features using LLMs and ML models
Develop AI workflows such as:
Intelligent data extraction & enrichment
Research summarization and insight generation
Scoring, classification, and recommendation systems
Translate business use-cases into production-ready AI features

Backend & Platform Integration

Integrate AI models into backend systems via APIs and services
Design and implement scalable APIs for AI features
Work with structured and unstructured data pipelines
Ensure reliability, performance, and security of AI components

Model Usage & Optimization

Fine-tune prompts, pipelines, and model configurations
Choose appropriate models (open-source vs hosted APIs)
Monitor model performance, accuracy, latency, and cost

Engineering Execution

Write clean, production-grade code
Contribute to system design and architecture discussions
Collaborate closely with product, research, and business teams
Maintain documentation for AI workflows and system logic

Required Skills & Experience

Must-Have

3–6 years of experience in AI/ML engineering or AI-focused backend development
Strong proficiency in Python (mandatory)
Experience working with:
LLMs (OpenAI, Anthropic, open-source models, etc.)
REST APIs and backend services
Understanding of:
Prompt engineering
Model orchestration and chaining
Data preprocessing and feature extraction
Experience with SQL and NoSQL databases

Good to Have

Experience with:
Vector databases (FAISS, Pinecone, Weaviate, etc.)
Retrieval-Augmented Generation (RAG) pipelines
Basic ML model training or fine-tuning
Familiarity with cloud platforms (AWS / GCP / Azure)
Exposure to Docker, CI/CD, and basic DevOps practices

What This Role Is NOT

Not a research-only or academic AI role
Not a people-management position
Not limited to model experimentation or notebooks
This is a build-and-ship role.

Who You’ll Work With

Business teams defining real use-cases
Engineering peers building MAVIP’s internal and external platforms
Leadership for prioritization and roadmap clarity (not micromanagement)

Ideal Candidate Profile

Has shipped at least one real AI feature or tool into production
Comfortable turning vague problems into working solutions
Thinks beyond “calling an API” and understands systems
Curious, pragmatic, and execution-oriented

Why MAVIP

Build real AI products, not demos
Exposure to multiple platforms and use-cases
Clear ownership of features and outcomes
Strong learning curve in applied AI

Additional Requirements

• 3+ years of work experience with Python (Programming Language)

• 3+ years of work experience with Artificial Intelligence (AI)