Develop and implement advanced Generative AI solutions (LLMs, embeddings, retrieval techniques, prompt engineering)
Design and optimize Retrieval-Augmented Generation (RAG) solutions
Manage Databricks workflows, including job and cluster creation also Databricks API
Deploy and orchestrate AI models using Docker and Kubernetes
Collaborate using GitHub for version control and team collaboration
Work with cloud platforms for AI solution deployment and management (Azure, GCP, AWS)
Knowledge of multiple front-end languages and libraries (e.g., HTML/ CSS, JavaScript, XML, jQuery)
Knowledge of multiple back-end languages (e.g., Python/Java/Node.js) and JavaScript frameworks (e.g., Angular/React)
Familiarity with databases (e.g., MySQL/NoSQL), web servers (e.g., Apache) and UI/UX design
Strong with Data Structure and Algorithms, OOPS & TDD concepts.
Experience in Material-UI and familiarity with CI/CD.
Define code architecture decisions to support a high-performance and scalable product with a minimal footprint.
Required Non-Tech Stack
Excellent communication and interpersonal skills, with the ability to work effectively with clients and internal teams.
Ability to scope out estimates (time and effort), design architecture and solutions for RFPs and Proposals
Strong problem-solving skills with an ability to assess the financial impact of decisions, both in running the delivery team and delivering solutions to clients.
Ability to recognize pragmatic alternatives vis--vis a perfect solution and get the delivery teams on board to pursue them, balancing time priorities with potential business impact.
Strong people skills, including conflict resolution, empathy, communication, listening, and negotiation.
Shows proficiency in providing technical guidance and provide leadership and mentorship to the delivery team.
