Role: Gen AI Specialist / Engineer (.NET Core) – Remote (Pakistan Time) - USD Salary
Location: Remote (Working with Australian Client)
Working Hours: 9:00 AM – 6:00 PM Pakistan Time
Experience Required: 3–4 Years
Employment Type: Full-Time / Long-Term Contract
About The Role
We are seeking a Generative AI Specialist / Engineer with a strong foundation in .NET Core development and hands-on experience in AI model integration—including chat and voice models such as Gemini and Gemini Flash Pro.
You will work directly with an Australian client to build, integrate, and optimize AI-powered systems, leveraging Azure AI, OpenAI, and Google Gemini ecosystems. This role combines deep technical skills with creative problem-solving to deliver intelligent, production-ready applications.
Key Responsibilities
Design and develop AI-driven applications and services using Generative AI frameworks (OpenAI, Azure OpenAI, Gemini, Gemini Flash Pro, etc.).
Integrate chat and voice models into enterprise-grade .NET Core applications.
Build backend APIs and microservices using .NET Core / ASP.NET Core.
Work with LangChain, Semantic Kernel, or similar libraries to orchestrate LLM workflows.
Develop and fine-tune prompts, manage context windows, and optimize embeddings for high-quality model responses.
Collaborate with cross-functional teams (data, product, design) to deliver AI-enabled business solutions.
Deploy and manage solutions in Azure Cloud, integrating services like Azure Functions, Cognitive Services, and App Services.
Stay up to date with the latest advancements in LLMs, voice synthesis, and multimodal AI.
Required Skills & Experience
3–4 years of professional experience in software development.
Strong experience in .NET Core / ASP.NET Core and RESTful API development.
Hands-on experience with Generative AI models such as OpenAI GPT, Azure OpenAI, Google Gemini, or Gemini Flash Pro.
Proven experience building and integrating chatbots, AI assistants, or voice-based solutions.
Familiarity with LangChain, Semantic Kernel, or LLM orchestration frameworks.
Experience with Azure Cloud Services (AI Studio, Cognitive Services, Key Vault, Functions, etc.).
Understanding of prompt engineering, embeddings, and vector databases (Pinecone, Redis, or Azure Cognitive Search).
Strong understanding of software architecture, Git, and CI/CD workflows.
Excellent written and verbal communication skills.
Preferred Qualifications
Exposure to Google Vertex AI, LangGraph, or OpenAI function calling.
Experience integrating multimodal models (text, voice, and image).
Familiarity with Python or Node.js for LLM pipeline automation.
Knowledge of microservices and event-driven architecture patterns.
What We Offer
Fully remote role with a reputable Australian client.
Competitive salary package.
Opportunity to work with cutting-edge AI and cloud technologies.
Collaborative and innovation-driven work culture.
Continuous learning opportunities in Gen AI, LLMOps, and AI application architecture.
Skills: .net,gemini,models,asp.net
