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Generative AI Developer - Data Modeling

Generative AI Developer - Data Modeling

Akshaya IT Business solutionsBangalore
15 days ago
Job description

Description :

Job Title : Gen - AI Developer

Experience : 4- 6 Years

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 usage).
  • Security & 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 :

    Programming & 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)

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