Job Title : Gen-AI Developer
Experience : 4 - 6 Years
Location : Pan India
Role Overview :
We are looking for an experienced Gen-AI Developer with a strong background in C#, Semantic Kernel, and Azure AI services to design, build, and deploy next-generation AI applications leveraging Large Language Models (LLMs), Agentic AI, and MLOps practices. The ideal candidate should bring a mix of hands-on development, infrastructure management, and AI orchestration expertise to create scalable, secure, and cost-optimized Gen AI solutions.
Key Responsibilities :
AI Application Development :
- Design, develop, and optimize LLM-powered applications using C#, Semantic Kernel, and .NET Aspire.
- Implement AI agent architectures for conversational AI, decision-making, and automation workflows.
- Build custom pipelines for model training, fine-tuning, and deployment (LLMs, NLP, ML).
Cloud & Infrastructure :
Deploy AI solutions using Azure Services (App Services, AI Foundry, Bot Services, AI Search, Containers).Set up end-to-end environments (Dev / Test / Prod) for ML / LLM / Agentic AI workloads.Implement serverless, containerized, and Kubernetes-based deployments for scalable AI applications.Use Infrastructure as Code (Terraform, ARM templates) for cloud provisioning and automation.Data Engineering & Pipelines :
Build ETL / data processing workflows using Apache Airflow, Kafka, Azure Data Factory.Integrate SQL / NoSQL, Data Lakes, and Data Warehouses into AI-driven applications.Manage data pipelines ensuring real-time ingestion, storage, and transformation.MLOps & CI / CD :
Establish MLOps frameworks (Kubeflow, MLflow, TFX) for training, deployment, and monitoring of ML / LLM models.Implement CI / CD pipelines (Azure DevOps, GitHub Actions, Jenkins) for AI models and services.Automate testing, monitoring, and retraining cycles to ensure continuous model improvement.Optimization & Cost Management :
Monitor and optimize cloud resource utilization to ensure cost efficiency and scalability.Implement auto-scaling strategies for AI workloads.Fine-tune large-scale models for performance and efficiency (latency, throughput, GPU / TPU & Compliance :Apply cloud security best practices (IAM, firewalls, VPCs, encryption).Ensure data privacy, secure access, and regulatory compliance in AI & Delivery :Work in Agile environments (Scrum / Kanban) with cross-functional teams.Translate business needs into scalable Gen-AI solutions.Communicate complex AI concepts to both technical and non-technical stakeholders.Technical Skills & Requirements & AI Development :
Strong C# and .NET experience (Mandatory).Hands-on with Semantic Kernel for AI orchestration.Expertise in LLM & Gen AI development.Familiarity with Agentic AI frameworks and autonomous agents.Cloud & Infrastructure :
Proficiency in Azure AI services (App Services, AI Foundry, AI Search, Bot Services, Containers).Experience with Kubernetes, Docker, serverless architectures.IaC tools : Terraform, ARM templates.AI / ML & Data Engineering :
Strong experience in ML, NLP, and LLM development.Familiar with MLOps pipelines (Kubeflow, MLflow, TFX).Data pipeline tools : Apache Airflow, Kafka, Azure Data Factory.Databases : SQL, NoSQL, Data Lakes, Warehouses.Deployment & Optimization :
Experience with custom model training, fine-tuning, and inference optimization.Knowledge of GPU / TPU environments, distributed model training.Performance tuning & cost management for cloud-based AI workloads.Security & Compliance :
Deep understanding of cloud security frameworks, IAM, encryption.Best practices in secure AI architecture and data governance.Other :
Strong problem-solving and debugging skills.Excellent written and verbal communication skills.Ability to work in fast-paced, cross-functional teams.Preferred Qualifications :
Experience with local LLM deployments and custom fine-tuning.Exposure to open-source AI orchestration frameworks.Certifications in Azure AI, Cloud Security, or MLOps.Hands-on with AI product lifecycle management from POC Production.(ref : hirist.tech)
