Generative AI Engineer

We are seeking a highly skilled Senior Generative AI Engineer with 10+ years of software engineering experience and 3+ years of hands-on Generative AI and Large Language Model (LLM) expertise. The ideal candidate will be responsible for designing, developing, and deploying enterprise-scale AI-powered applications, intelligent automation platforms, AI agents, and Retrieval-Augmented Generation (RAG) solutions. This role requires deep expertise in LLM frameworks, cloud platforms, vector databases, and MLOps best practices to build next-generation AI solutions., Design, develop, and deploy enterprise-grade Generative AI applications. Build, optimize, and maintain Retrieval-Augmented Generation (RAG) pipelines. Develop AI agents and workflow automation systems. Integrate Large Language Models (LLMs) with enterprise applications and APIs. Evaluate model performance and continuously improve response quality and accuracy. Collaborate with product, engineering, and data teams to deliver AI-driven solutions. Implement AI governance, security, compliance, and responsible AI standards. Monitor, troubleshoot, and optimize AI applications in production environments. Develop scalable microservices-based AI architectures. Stay current with emerging AI technologies, frameworks, and industry best practices.

10+ years of Software Engineering experience 3+ years of hands-on Generative AI / LLM experience Strong proficiency in Python Experience with OpenAI, Anthropic Claude, Gemini, or similar LLM platforms Expertise in LangChain, LangGraph, LlamaIndex, or AI orchestration frameworks Strong experience building Retrieval-Augmented Generation (RAG) solutions Experience with vector databases including: Expertise in Prompt Engineering and LLM Evaluation Techniques Experience with REST APIs and Microservices Architecture Cloud platform experience with: Strong knowledge of SQL and NoSQL Databases Experience with: Familiarity with Machine Learning and MLOps Best Practices Preferred Qualifications: Experience fine-tuning open-source LLMs such as: Experience with AI Agents and Multi-Agent Systems Knowledge of AI Governance, AI Security, and Responsible AI Practices Experience with Azure OpenAI Service or AWS Bedrock Exposure to Data Engineering and enterprise-scale AI deployments Master’s Degree in Computer Science, Artificial Intelligence, Data Science, or a related field Soft Skills: Strong analytical and problem-solving abilities Excellent communication and stakeholder management skills Ability to work independently in a remote environment Strong collaboration and teamwork skills Detail-oriented with a focus on quality and scalability Ability to adapt quickly to evolving technologies and business needs