Principal Emulation Verification Engineer (AI)

Job description Position Overview

We are seeking a highly skilled Senior Python Lead with deep experience in building Generative AI

applications, particularly using Azure OpenAI.

The ideal candidate will have strong backend engineering expertise, hands-on experience in LLM-

based solution development, and the ability to design, architect, and deploy AI-driven applications

at scale.

This role requires close ...collaboration with architects, product owners, and cross-functional teams to

deliver innovative GenAI capabilities aligned with business objectives.

Key Responsibilities

AI / LLM Development

Design, develop, and optimize GenAI-powered applications using Azure OpenAI (GPT

models, embeddings, RAG pipelines, function calling, agents).

Implement LLM operations including:

o Prompt engineering

o Fine-tuning

o Vectorization

o Evaluation pipelines

Build and integrate Retrieval-Augmented Generation (RAG) workflows using Azure

Cognitive Search or other vector databases.

Backend Engineering

Develop robust and scalable backend services using Python (FastAPI, Flask).

Build APIs, microservices, and data pipelines for GenAI applications.

Integrate structured and unstructured data sources (databases, PDFs, APIs, documents).

3. Cloud & MLOps

Deploy end-to-end AI solutions on Azure, leveraging:

o Azure OpenAI

o Azure Cognitive Search

o Azure Machine Learning

o Azure Functions

o Azure Kubernetes Service (AKS)

o Azure Data Lake / Storage

Implement CI/CD pipelines, model deployment workflows, and monitoring systems.

Collaboration & Leadership

Work closely with Solution Architects and business stakeholders to translate requirements

into technical solutions.

Provide technical leadership and mentor junior developers.

Participate in:

o Design discussions

o Architecture reviews

o Code reviews

Ensure security, scalability, performance, and compliance of GenAI applications.

Required Qualifications

7+ years of hands-on experience in Python development.

Strong expertise in:

o Python frameworks: FastAPI / Flask / Django

o Azure OpenAI (GPT models, ChatGPT)

o LLM-based application development

o Vector databases (Azure Search, Pinecone, ChromaDB)

Solid experience with:

o Prompt engineering

o RAG and embeddings

o NLP frameworks (Hugging Face, Transformers, LangChain, LlamaIndex)

o RESTful API development

o Cloud-native architecture on Azure

Strong understanding of:

o Security and authentication (OAuth2, JWT)

o Data governance

Preferred Qualifications

Experience in fine-tuning or customizing LLMs.

Familiarity with ML frameworks such as PyTorch and TensorFlow.

Experience with data engineering workflows (SQL, ETL pipelines).

Background in deploying enterprise-grade AI applications.

Knowledge of MLOps best practices.

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