Join our team to design, develop, and deploy advanced AI and Generative AI solutions tailored for enterprise challenges. This role offers the opportunity to work with cutting-edge technologies including Large Language Models (LLMs), modern AI frameworks, APIs, Retrieval Augmented Generation (RAG), and cloud infrastructure to create scalable, production-ready AI applications. Contribute to building intelligent systems that solve complex business problems.

Focus on innovation and impact. Your work will directly influence the development of intelligent enterprise solutions, driving digital transformation and enhancing business capabilities through AI.

If you are passionate about AI and eager to make a significant impact, this is your opportunity to excel.

Develop and seamlessly integrate sophisticated AI/GenAI applications, leveraging Python and contemporary AI frameworks. Construct robust solutions employing LLMs, RAG, expert prompt engineering, and AI APIs. Design and refine REST APIs along with backend services essential for AI-powered applications. Utilize frameworks like LangChain, LangGraph, or LlamaIndex for efficient development. Implement advanced vector databases and semantic search capabilities for enhanced knowledge retrieval. Integrate AI solutions harmoniously with existing enterprise applications and diverse data sources. Conduct thorough model evaluation, optimization, rigorous testing, and effective troubleshooting. Foster strong collaborative relationships with Data Scientists, Architects, Product Owners, and fellow Engineering teams. Deploy AI solutions efficiently using Docker, Kubernetes, and robust CI/CD pipelines.

Demonstrate strong proficiency in Python development. Possess hands-on experience with Generative AI and LLMs. Exhibit a solid understanding of RAG, embeddings, prompt engineering, and vector databases. Showcase practical experience with LangChain, LangGraph, LlamaIndex, or similar frameworks. Proven ability in developing REST APIs using FastAPI, Flask, or equivalent technologies. Familiarity with both SQL and NoSQL databases. Exposure to cloud AI services on AWS, Azure, or GCP. Understanding of essential development tools and practices including Git, Docker, Kubernetes, and CI/CD. Excellent problem-solving acumen and effective communication skills are vital.