Overview

Prodapt is the largest specialized player in the Connectedness industry. As an AI-first strategic technology partner, Prodapt provides consulting, business reengineering, and managed services for the largest telecom and tech enterprises building networks and digital experiences of tomorrow. Prodapt has been recognized by Gartner as a Large, Telecom-Native, Regional IT Service Provider. A “Great Place To Work® Certified™” company, Prodapt employs over 6,000 technology and domain experts in 30+ countries. Prodapt is part of the 130-year-old business conglomerate The Jhaver Group, which employs over 32,000 people across 80+ locations globally.

Role Overview

As an AI Engineer, you will be the architect of our intelligence layer. You won't just be building models in isolation; you will be leveraging AIP to create integrated, "human-in-the-loop" AI applications. Your goal is to transform static data assets into dynamic, agentic workflows that solve complex operational challenges.

Responsibilities

Key Responsibilities

AIP Logic & Tooling: Design and implement AIP Logic functions and integrate LLMs (Large Language Models) into workflows.
Ontology Architecture: Map complex business processes into the Ontology, ensuring AI models have a structured, semantic understanding of the organization.
Pipeline Development: Build robust data pipelines using PySpark and Data Connection to feed high-quality data into AI features.
Prompt Engineering & Orchestration: Develop and refine prompts and use AIP Assist or Automate to create autonomous agents and decision-support tools.
Application Building: Use Workshop and Slate to build intuitive front-end interfaces where end-users can interact with AI insights.
Governance & Ethics: Implement rigorous testing, versioning, and "checks and balances" within the AIP framework to ensure AI outputs are safe, reliable, and explainable.

Requirements

Technical Qualifications

| Category | Requirements |

| Proficiency in Ontology, Workshop, Contour, and Pipeline Builder. |

| AI/ML Skills | Deep understanding of AIP Logic, LLM orchestration (RAG), and prompt engineering. |

| Languages | Expert-level Python and PySpark. Familiarity with TypeScript/SQL is a plus. |

| Data Engineering | Experience with data modeling, ETL/ELT, and managing large-scale datasets. |

| DevOps/Mojo | Knowledge of modeling objective (Mojo) and CI/CD for ML models.

Preferred Experience

Experience building Agentic Workflows (AI that can take actions, not just answer questions).
A background in a highly regulated industry (Finance, Healthcare, Defense) where data privacy and security are paramount.

The Ideal Candidate

You are a "full-stack" data thinker. You don't wait for a clean dataset; you go into the filesystem, find what you need, model it into the Ontology, and wrap an AIP-driven solution around it. You value security-first AI and understand that an LLM is only as good as the data it can access.

Education & Qualification:

Bachelor's degree in business, Information Technology, Computer Science, or a related field.
2-4 years' experience in the IT industry.

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