Generative AI Engineer

Who We are Looking For

hands-on Gen-AI Developer

Must-Have Skills & Expertise

Programming & Frameworks

• C# Programming Language

  – Strong command and ability to build enterprise-level applications.

• .NET and .NET Aspire

  – Experience building scalable AI applications using the .NET ecosystem.

AI & Gen-AI Development

• Experience working with

  LLMs (Large Language Models)

  such as OpenAI, GPT, Azure OpenAI, or local models.
• Hands-on experience with

  Generative AI tools and frameworks

  .

• Semantic Kernel (Microsoft)

  – Ability to use and integrate Semantic Kernel for building AI agents and orchestrating tasks.

AI Agent Concepts

• Understanding of how

  AI agents

  work (multi-step reasoning, task decomposition, autonomous behavior).
• Ability to design, build, and optimize

  Agentic AI systems

  .

Cloud Platform: Microsoft Azure

• Should have deployed or worked on AI solutions using the following Azure services:

• App Services

• Containers (Docker on Azure)

• AI Search

• Bot Services

• AI Foundry

• Cloud-native development

  and

  serverless architectures

  are a strong plus.

Data Science & Machine Learning

• End-to-end ML pipeline development: from

  data ingestion

  ,

  model training

  ,

  fine-tuning

  , to

  deployment

  .
• Comfortable working with

  ML frameworks

  like

  MLflow

  ,

  Kubeflow

  , or

  TFX

  .
• Experience with

  model fine-tuning and deployment

  , especially LLMs.

Data & Pipelines

• Knowledge of building

  data pipelines

  using:

• Apache Airflow

• Apache Kafka

• Azure Data Factory

• Experience with both

  structured (SQL)

  and

  unstructured data (NoSQL)

  .
• Familiarity with

  Data Lakes

  ,

  Data Warehouses

  , and ETL workflows.

Infrastructure & DevOps

• Experience with:

• Containerization

  using

  Docker

  and

  Kubernetes

  .

• Infrastructure as Code

  tools like

  Terraform

  or

  Azure Resource Manager (ARM)

  .

• CI/CD tools

  like

  Azure DevOps

  ,

  GitHub Actions

  , or

  Jenkins

  .
• Building and automating

  end-to-end pipelines for AI/ML models

  .

Cloud Security & Cost Management

• Solid understanding of:

• Cloud security best practices

  – IAM, VPCs, firewalls, encryption, etc.

• Cloud cost optimization

  – autoscaling, efficient resource allocation, and budget tracking.

Key Responsibilities

• Develop, test, and deploy

  intelligent applications using

  C# and Gen-AI technologies

  .
• Build and optimize

  AI agents

  using

  Semantic Kernel

  and

  LLMs

  .
• Create full ML/AI solutions — from data processing, model training, evaluation, to production deployment.
• Integrate and manage

  Azure AI services

  in enterprise solutions.
• Design and maintain

  data pipelines

  , model orchestration workflows, and

  automated deployments

  .
• Work collaboratively with

  cross-functional teams

  (data scientists, DevOps engineers, backend developers).
• Ensure

  performance optimization

  of deployed models and infrastructure.
• Maintain

  cloud cost efficiency

  and monitor infrastructure using the right tools and strategies.
• Follow

  Agile methodologies

  (Scrum/Kanban), participate in sprint planning, code reviews, and team stand-ups.
• Maintain code quality, documentation, and test coverage.

Soft Skills Required

• Clear communication skills

  – You should be able to explain technical ideas to both tech and non-tech stakeholders.

• Collaborative mindset

  – You’ll work closely with DevOps, ML Engineers, and Data Scientists.

• Strong analytical and problem-solving skills

  – Able to break down complex problems into actionable steps.

• Self-motivated and hands-on

  – You enjoy coding, experimenting, and deploying real systems.

• Adaptable to new tools and fast-changing Gen-AI landscape

  .

Ideal Candidate Summary

code in C#