Job Title

Job Description Role Overview We are seeking a highly skilled professional to design, develop, and deploy Generative AI solutions leveraging Large Language Models (LLMs). The ideal candidate will have strong technical expertise in AI engineering, Python programming, API development, and cloud integration, combined with excellent communication skills for cross-functional collaboration.Key Responsibilities Design and implement Generative AI solutions using LLMs. Develop and optimise Retrieval-Augmented Generation (RAG) workflows and prompt engineering strategies. Build and maintain APIs for AI-driven applications. Integrate AI solutions with cloud platforms and DevOps pipelines. Collaborate with stakeholders to ensure clarity in requirements and deliverables. Stay updated on emerging AI technologies and best practices.Technical Competencies (Mandatory Skills) Generative AI & LLM Strong familiarity with Generative AI ecosystem and LLM models. Hands-on experience withRAG workflowsandprompt engineering techniques . Python Proficiency Advanced Python programming skills. Experience with libraries relevant to Generative AI such asLangChainandLangGraph . API Development Proven experience with API development frameworks likeFastAPI ,Django REST , orFlask . Cloud & DevOps Integration Practical exposure toAIOpsandDevOps tools and practices . Hands-on experience withAzure AI services .Collaboration Metrics Excellent communication skills with the ability to convey complex technical concepts clearly and professionally.Mandatory Skills: Generative AI ecosystem & LLM models RAG workflow & prompt engineering Advanced Python with LangChain/LangGraph API development (FastAPI/Django REST/Flask) AIOps, DevOps tools, and Azure AI servicesPreferred Qualifications Bachelors/Masters degree in Computer Science, AI, or related field. Prior experience in deploying AI solutions in production environments. Knowledge of MLOps and CI/CD pipelines.