Agentic AI Integration

• Integrate with third-party or internally hosted AI/LLM APIs (e.g., OpenAI, Anthropic Claude, Azure OpenAI, Bedrock, Vertex AI) to power agentic capabilities within applications.
• Write Python-based scripts/services for agent orchestration using frameworks such as LangChain, LangGraph, AutoGen, Semantic Kernel, or similar, and wire them into the .NET/Angular application stack.

Cloud & Infrastructure

• Deploy, monitor, and manage application services and supporting infrastructure on AWS and/or GCP (e.g., Lambda/Cloud Functions, container services, storage, IAM).
• Collaborate with DevOps to ensure scalable, cost-efficient, and secure cloud deployments across the full stack.

Requirements

Required Qualifications

• 7+ years of professional experience in .NET / C# development (API and backend services).
• 7+ years of experience with SQL Server (database design, optimization, stored procedures, performance tuning).
• 3+ years of hands-on Angular UI development experience, including component architecture, state management, and consuming REST APIs.
• Demonstrated true full stack ownership: comfortable working across Angular, API design, .NET backend, SQL Server, and test automation without needing to hand off between specialists.
• 2+ years of hands-on experience building or integrating agentic AI workflows/systems that orchestrate existing AI/LLM APIs (not model training or fine-tuning).
• Experience with Playwright (or similar) for automated UI/end-to-end testing, and writing unit/integration tests for backend services.
• Practical experience with agentic AI frameworks (e.g., LangChain, LangGraph, AutoGen, Semantic Kernel, or custom agent orchestration).
• Proficiency in Python for scripting and AI service integration.
• Hands-on experience with AWS and/or GCP cloud platforms for deploying and managing application workloads.
• Strong understanding of REST API design and service-to-service integration patterns.
• Excellent problem-solving skills and ability to work across the full stack, from UI to database, without silos.

Preferred / Nice-to-Have

• Experience consuming LLM APIs (OpenAI, Anthropic Claude, Azure OpenAI, Bedrock, Vertex AI) within application workflows.
• Experience with vector databases and RAG (Retrieval-Augmented Generation) architectures as a consumer of these services.
• Knowledge of containerization (Docker/Kubernetes).
• Experience with prompt engineering and agent evaluation/observability tools.
• Background in enterprise application modernization projects that incorporate agentic AI capabilities.

Originally posted on Himalayas