Generative AI Engineer

Company: Global Technology organization

Key Skills: Gen AI, Artificial Intelligence

Roles and Responsibilities:

• Design, develop, fine-tune, and deploy sophisticated AI solutions leveraging Large Language Models (LLMs), Generative AI techniques (including RAG), and state-of-the-art embedding models.
• Stay updated with upcoming models, prompting techniques, MCPs, etc., and quickly adapt them into existing projects.
• Architect, build, and manage complex Agentic Workflows, enabling AI agents to perform multi-step tasks, utilize tools, and interact dynamically with various systems.
• Develop and implement robust strategies and protocols for managing context windows, conversation history, and interaction flows effectively with various AI models.
• Develop robust backend services, APIs, and integration layers.
• Work closely with frontend developers and other backend engineers to integrate AI functionalities smoothly into user-facing applications and internal platforms.
• Stay updated on cutting-edge research in LLMs, Agentic workflows, knowledge graphs, and related fields. Rapidly prototype and experiment with new approaches.
• Evaluate and recommend AI technologies, focusing on NLP, LLM, and Generative AI.

Skills Required:

• 1.5+ years of working experience developing, deploying, tracking, and orchestrating scalable AI solutions.
• Proven experience developing applications using LLMs, including API integration of proprietary models, fine-tuning, and prompt engineering.
• Hands-on experience with Generative-AI techniques, working experience with RAG systems, Vector Databases, Embedding models, etc.
• Strong proficiency in backend development using JavaScript and/or TypeScript within a Node.js environment.
• Experience building and consuming APIs.
• Experience with Agentic systems/workflows, and familiarity with Model Context Protocols (MCPs).
• Experience designing and implementing complex, multi-step Agentic Workflows.
• Experience optimizing LLM API interactions using prompt engineering, retrieval-augmented generation (RAG), context management, and performance tuning.
• Proficiency in designing, testing, and optimizing prompts for LLMs.
• Good communication skills to work effectively in cross-functional teams.

Education: Bachelor's Degree in related field