Generative ai engineer

1 week ago

Bangalore, India KAYA Full time

We are seeking a seasoned Full Stack Engineer with extensive experience in cutting-edge Generative AI, especially AI Agents, Agentic Workflows, Retrieval Augmented Generation (RAG), and advanced Language Model (SLM/LLM) implementations. In this role, you will lead the design, development, and deployment of next-generation AI-powered systems that leverage small and large language models, multi-agent frameworks, and complex contextual embeddings. Your expertise will influence not only technical decisions but also product strategy and innovation, guiding a small team to deliver robust, scalable solutions. You will drive the end-to-end development of AI-centric functionalities, ensuring seamless integration across both backend and frontend layers. You will: Design and Implement Gen AI Systems: Design and deploy AI Agents, Agent orchestrations within agentic frameworks, RAG-driven workflows and harness both small and large language models to deliver contextually aware, intelligent experiences. Optimize AI Methodologies: Apply best practices in prompt engineering, query expansion, chunking strategies, re-ranking, response refinements, and vector-based retrieval to enhance model performance, accuracy, and responsiveness. Integrate with Backend and Frontend: Build and maintain backend services and APIs using Python (with Fast API) and ensure smooth data flow to a React-based (preferred) or Angular frontend. Utilize real-time communication methods (e.g., Web Sockets) as needed, while prioritizing more critical AI data pipelines and workflow orchestration. Leverage AIML Libraries and Datastores: Employ tools like Lang Chain, Llama Index, and Lang Graph to construct intelligent, context-driven solutions, and efficiently manage both relational and vector databases to support large-scale AI deployments. Utilize Cloud Platforms: Deploy and manage AI solutions on platforms such as Azure, AWS, or GCP, taking full advantage of their machine learning and scaling capabilities. Drive Architectural Excellence: Apply strong design principles and best practices to craft scalable, maintainable, and high-performance systems that handle complex multi-agent interactions and high-volume queries. Leadership and Collaboration: Mentor a small team of engineers, set technical standards, conduct code reviews, and foster a collaborative culture. You will also engage with clients, translating their requirements into technical solutions, communicating progress, and ensuring deliverables meet their expectations. Continuous Innovation: Stay current with the evolving AI landscape. Experiment with emerging techniques, refine internal process, and champion the adoption of new technology. Required Skills Generative AI Expertise : Advanced knowledge in AI Agents, Agentic Workflows, Retrieval-Augmented Generation (RAG), and Prompt Engineering. Advanced Python Programming : Proficiency in Python, particularly for AI-driven applications, with experience in frameworks like Lang Chain and Lang Graph. Vector Databases : Strong skills in managing and utilizing vector databases for AI solutions. Fast API & Node JS : Experience in building backend services using Fast API or Node JS. UI/UX Design : Ability to design and implement intuitive user interfaces, with beginner to intermediate proficiency in React. Llama Index & SLM/LLM Integration : Familiarity with Llama Index and expertise in integrating System Language Models/Large Language Models into applications. Preferred Education and Experience: Minimum BSc in Computer Science, Engineering, or a related field At least 5 years in full-stack development with a focus on AI. Proven track record leading small engineering teams and delivering complex AI-driven products. Direct client-facing experience, from requirements gathering to final delivery.

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