Hiring for Gen-AI Developer - (Remote)

4 - 6 years

0 Lacs

Posted:2 days ago| Platform: Linkedin logo

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Work Mode

Remote

Job Type

Full Time

Job Description

Hiring for Gen-AI Developer - (Remote)


Location : Remote

Experience :

Position :

Budget :


Below are mandatory skills:

• C# Proficiency – Must

• Semantic Kernel Experience – Must

• Azure Services (App Services, Containers, AI Search, Bot Services, AI Foundry) .NET

• LLM & Gen AI Development

• AI Agent Concepts

• Strong Problem-Solving Skills

• Experience with AI Orchestration


Interested candidates can post their CV at atul@mpowerment.in & mention "Application for Gen-AI Developer - (Remote) "



Technical Requirements:

  • Hands-on Data Science , Agentic AI, AI/Gen AI / ML /NLP

  • Azure services (App Services, Containers, AI Foundry, AI Search, Bot Services)

  • Experience in C#

  • Semantic Kernel

  • Strong background in working with LLMs and building Gen AI applications

  • AI agent concepts

  • .NET Aspire

  • End-to-end environment setup for ML/LLM/Agentic AI (Dev/Prod/Test)

  • Machine Learning & LLM deployment and development

  • Model training, fine-tuning, and deployment

  • Kubernetes, Docker, Serverless architecture

  • Infrastructure as Code (Terraform, Azure Resource Manager)

  • Performance Optimization & Cost Management

  • Cloud cost management & resource optimization, auto-scaling

  • Cost efficiency strategies for cloud resources

  • MLOps frameworks (Kubeflow, MLflow, TFX)

  • Large language model fine-tuning and optimization

  • Data pipelines (Apache Airflow, Kafka, Azure Data Factory)

  • Data storage (SQL/NoSQL, Data Lakes, Data Warehouses)

  • Data processing and ETL workflows

  • Cloud security practices (VPCs, firewalls, IAM)

  • Secure cloud architecture and data privacy

  • CI/CD pipelines (Azure DevOps, GitHub Actions, Jenkins)

  • Automated testing and deployment for ML models

  • Agile methodologies (Scrum, Kanban)

  • Cross-functional team collaboration and sprint management

  • Experience with model fine-tuning and infrastructure setup for local LLMs

  • Custom model training and deployment pipeline design

  • Good communication skills (written and oral)

Note: The key requirement is a person with Hands on experience

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