AI Developer

As an AI Developer, you will be responsible for designing, developing, and deploying intelligent AI agents, conversational AI solutions, and enterprise-grade AI applications leveraging modern AI frameworks and cloud technologies. Key Responsibilities: - Design, develop, and deploy AI-powered applications using Large Language Models (LLMs). - Build and manage autonomous AI agents capable of reasoning, planning, tool usage, and task execution. - Develop Agentic AI solutions using modern orchestration frameworks. - Implement Retrieval-Augmented Generation (RAG) architectures for enterprise knowledge management and search. - Integrate AI models with business applications, APIs, databases, and enterprise systems. - Fine-tune, optimize, and evaluate LLM performance for domain-specific use cases. - Design prompt engineering strategies to improve model accuracy and reliability. - Develop multi-agent systems and workflow automation solutions. - Collaborate with business stakeholders to identify AI opportunities and translate them into technical solutions. - Monitor AI system performance, security, governance, and compliance requirements. - Participate in architecture discussions, code reviews, and AI solution design. Required Qualifications: - Minimum 2 years of hands-on experience with Generative AI and LLM-based application development. - Strong understanding of AI architecture patterns, RAG, vector databases, and agent orchestration frameworks. Additional Details: The company is looking for a candidate with experience in programming languages such as Python (Mandatory), C# / .NET (Preferred), JavaScript / TypeScript, and SQL. Proficiency in AI & Machine Learning concepts including Generative AI, Prompt Engineering, Fine-Tuning Techniques, Model Evaluation, AI Safety & Responsible AI, Agentic AI is required. Familiarity with frameworks & platforms like LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI, OpenAI APIs, Azure OpenAI Services, and Cloud Platforms such as Microsoft Azure, Azure Functions, and AWS Bedrock (Preferred) is desired. Experience with DevOps & Deployment tools like Git, Azure DevOps, Docker, and Kubernetes (Preferred) will be beneficial for this role. As an AI Developer, you will be responsible for designing, developing, and deploying intelligent AI agents, conversational AI solutions, and enterprise-grade AI applications leveraging modern AI frameworks and cloud technologies. Key Responsibilities: - Design, develop, and deploy AI-powered applications using Large Language Models (LLMs). - Build and manage autonomous AI agents capable of reasoning, planning, tool usage, and task execution. - Develop Agentic AI solutions using modern orchestration frameworks. - Implement Retrieval-Augmented Generation (RAG) architectures for enterprise knowledge management and search. - Integrate AI models with business applications, APIs, databases, and enterprise systems. - Fine-tune, optimize, and evaluate LLM performance for domain-specific use cases. - Design prompt engineering strategies to improve model accuracy and reliability. - Develop multi-agent systems and workflow automation solutions. - Collaborate with business stakeholders to identify AI opportunities and translate them into technical solutions. - Monitor AI system performance, security, governance, and compliance requirements. - Participate in architecture discussions, code reviews, and AI solution design. Required Qualifications: - Minimum 2 years of hands-on experience with Generative AI and LLM-based application development. - Strong understanding of AI architecture patterns, RAG, vector databases, and agent orchestration frameworks. Additional Details: The company is looking for a candidate with experience in programming languages such as Python (Mandatory), C# / .NET (Preferred), JavaScript / TypeScript, and SQL. Proficiency in AI & Machine Learning concepts including Generative AI, Prompt Engineering, Fine-Tuning Techniques, Model Evaluation, AI Safety & Responsible AI, Agentic AI is required. Familiarity with frameworks & platforms like LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI, OpenAI APIs, Azure OpenAI Services, and Cloud Platforms such as Microsoft Azure, Azure Functions, and AWS Bedrock (Preferred) is desired. Experience with DevOps & Deployment tools like Git, Azure DevOps, Docker, and Kubernetes (Preferred) will be beneficial for this role.