• Collaborate with product managers and stakeholders to translate business problems into AI-powered search and retrieval solutions. • Design and build hybrid search systems combining keyword search (BM25) and semantic/vector search to power intelligent discovery across large datasets. • Develop and optimize retrieval pipelines used in RAG (Retrieval Augmented Generation) and AI-driven applications. • Build scalable pipelines for document ingestion, indexing, embedding generation, and search ranking. • Partner with the Data team to ensure the right data is collected, enriched, chunked, and indexed for retrieval systems. • Design and implement AI-powered services that combine LLMs with search infrastructure. • Write high-quality Python code to manipulate data, build search pipelines, and evaluate retrieval performance. • Develop tools and infrastructure to support relevance tuning, search quality evaluation, and continuous improvement of ranking models. • Work with our cloud operations team to deploy AI search services, monitor performance, and improve latency, relevance, and reliability

• Develop, test, and maintain full-stack web applications using .NET, C#, MS SQL, and NoSQL databases • Design and implement server-side logic and components • Develop RESTful APIs and integrate them with front-end applications • Build responsive and user-friendly front-end interfaces using modern front-end technologies • Collaborate with business stakeholders to understand requirements and deliver optimal solutions • Write clean, maintainable, and efficient code following best practices and coding standards • Optimize applications for maximum speed and scalability • Perform code reviews and mentor junior developers • Troubleshoot, debug, and resolve issues in production and development environments • Collaborate with DevOps to ensure smooth deployment and continuous integration • Stay current with industry trends and emerging technologies • Work as a team player to ensure project success, demonstrating a "get it done" attitude and taking ownership of tasks to meet deadlines

• Lead design and development of AWS‑based web applications • Define architecture, technology choices, and coding standards • Build high‑performance UI components using modern JavaScript/TypeScript frameworks • Implement strategies for processing and visualizing large meteorological datasets • Oversee rendering and performance for advanced browser‑based visualizations • Collaborate with UX, meteorologists, and DevOps to deliver end‑to‑end solutions • Mentor engineers, lead reviews, and resolve complex technical issues

• Design and develop AI-enabled services and applications using Python and modern cloud-native architectures. • Integrate large language models (LLMs) and AI APIs into production systems to enable intelligent automation and decision support. • Build scalable microservices and APIs that support AI-driven workflows and data processing. • Develop pipelines and services that process structured and unstructured data to support intelligent applications. • Implement secure APIs and event-driven architectures that support data integration and AI-enabled services. • Optimize AI-powered applications for performance, reliability, and scalability in cloud environments. • Collaborate with engineers, product teams, and stakeholders to translate AI concepts into deployable solutions. • Take on additional tasks and responsibilities as needed to support team objectives and ensure the success of the project.