Job Description

About Innobayt

Innobayt Innovative Solutions LLC is a Dubai-headquartered technology company specializing in AI, IoT, Cloud Engineering, and Custom Software Development. With a strong presence across the UAE, GCC, and India, we design and build cutting-edge digital solutions for enterprises in Energy & O&G, Manufacturing, Healthcare, BFSI, Retail, and Government sectors. Our team works at the intersection of innovation and execution--delivering high-impact AI systems, enterprise automations, and scalable platforms that solve real business challenges. At Innobayt, we foster a culture where engineers take ownership, innovate fearlessly, and build products that shape the future.

About the Role

We are seeking a highly skilled

AI Engineer with strong expertise in Retrieval-Augmented Generation (RAG)

and

Microsoft Copilot development

to join our advanced AI engineering team. You will architect and build enterprise-grade AI systems, including custom Copilot solutions integrated with Microsoft 365, SharePoint, Dynamics, Teams, and external enterprise applications.

Key Responsibilities1. RAG System Design & Development

Build and optimize

end-to-end RAG pipelines

for enterprise use cases. Implement

chunking, vector embeddings, document ingestion

, search/retrieval systems, and prompt orchestration. Design

hybrid RAG

(semantic + keyword search). Optimize hallucination reduction, reranking, and context relevance. Support

multi-modal RAG

(PDFs, images, tables, structured data).

2. Microsoft Copilot Development

Build

custom Microsoft Copilot extensions

, plugins, and skills for:

Microsoft 365 Copilot

Microsoft Copilot Studio

Copilot for Teams

SharePoint Copilot

Dynamics 365 Copilot

Integrate external data sources and company systems with Copilot. Design

Copilot grounding strategies

using RAG, vector embeddings, and business rules. Implement plugin actions using Power Platform, Azure Functions, Graph Connectors, and REST APIs. Ensure secure identity management, data governance, and compliance in Copilot environments.

3. LLM Integration & Fine-Tuning

Integrate LLMs including

OpenAI, Azure OpenAI, Claude, Llama, Mistral

. Implement custom LLM flows with

LangChain, LlamaIndex, Semantic Kernel, DSPy

. Experiment with fine-tuning approaches such as

LoRA / QLoRA

.

4. Data Processing & Vector Database Management

Build ETL pipelines to process unstructured documents (PDF, DOCX, scanned files). Implement text embedding pipelines using models like

OpenAI, BGE, E5, Cohere

. Manage vector databases: Pinecone Weaviate FAISS Milvus ElasticSearch / OpenSearch Optimize vector hygiene, metadata filtering, retrieval latency, and similarity scoring.

5. Backend & API Development

Build backend services with

Python / FastAPI / Flask / Node.js

for AI pipelines. Build ingestion APIs, retrieval APIs, inference services, and Copilot data connectors. Optimize inference using caching, embeddings batching, and streaming.

6. Evaluation, Testing & Monitoring

Build evaluation frameworks for: Retrieval accuracy Response quality Hallucination reduction Latency and throughput Create dashboards using

Prometheus, Grafana, Azure Monitor

for RAG & Copilot usage analytics.

7. Deployment, Security & Compliance

Deploy AI workloads and Copilot extensions on

Azure (preferred)

or AWS. Ensure data governance, encryption, and access control for enterprise environments. Apply best practices for cost optimization of LLM and vector operations.

Required Skills & QualificationsTechnical Skills

Strong hands-on experience building

RAG systems

from scratch. Proven experience developing

Microsoft Copilot extensions / skills / plugins

. Proficiency with: Python (FastAPI, Flask) LangChain / LlamaIndex / Semantic Kernel Azure Cognitive Search (bonus) Microsoft Graph API Experience with vector databases: Pinecone, Weaviate, Milvus, FAISS. Experience with LLM-based app development using OpenAI, Azure OpenAI, and open-source models. Strong experience with

document parsing, embeddings, and retrieval

. Knowledge of M365 architecture, SharePoint, Teams, Power Platform is a plus.

Cloud & DevOps

Strong experience on

Azure AI

, Azure Functions, Azure Storage, Azure Kubernetes Service. CI/CD pipelines, Docker, Kubernetes. Familiarity with distributed computing (Databricks, Ray is a plus).

Soft Skills

Strong problem-solving skills and ability to design production-grade AI solutions. Clear communicator with strong documentation habits. Ability to collaborate with cross-functional teams and business stakeholders.

Preferred (Nice-to-Have)

Experience with Knowledge Graphs or graph-based retrieval. Experience with AI agent workflow orchestration (LangGraph, OpenAI Assistants API). Experience with multi-agent or tool-calling architectures. Background in NLP or AI research.
Job Type: Full-time