OpenOpportunity Sourced Jobs — Bengaluru
Full Time · Hybrid · Leadership
Role: Technical Architect | Department: Engineering - Software & QA | Industry: IT Services & Consulting | Education: UG: Any Graduate About the Role: Turing is hiring a Principal GenAI Engineer to lead enterprise-scale AI implementations for Fortune 500 clients. This role focuses on designing and building scalable, production-grade GenAI systems at the intersection of backend/fullstack engineering and applied AI, building reliable, high-performance systems that integrate LLM capabilities into real-world applications. What We're Looking For: • 8-14 years of experience in software engineering (backend or fullstack). • 2+ years of hands-on experience with LLMs (RAG, agents, prompt engineering). • Strong experience building production-grade distributed systems. • Proficiency in Python. • Strong experience with SQL & NoSQL databases. • Hands-on experience with LangChain, LangGraph, or similar frameworks. • Experience deploying systems on AWS / Azure / GCP. • Strong understanding of APIs, microservices, and system design. • Experience with vector databases (Pinecone, Weaviate, FAISS, etc.). • Familiarity with CI/CD pipelines and DevOps practices. Roles & Responsibilities: • Develop and optimize LLM-based solutions: Lead the design and deployment of large language models, leveraging techniques like prompt engineering, retrieval-augmented generation (RAG), and agent-based architectures. • Codebase ownership: Build and maintain/review high-quality, efficient code in Python (using frameworks like LangChain/LangGraph) and SQL, focusing on reusable components, scalability, and performance best practices. • Cloud integration: Aid in deployment of GenAI applications on cloud platforms (Azure, GCP, or AWS), optimizing resource usage and ensuring robust CI/CD processes. • Cross-functional collaboration: Work closely with product owners, data scientists, and business SMEs to define project requirements, translate technical details, and deliver impactful AI products. • Mentoring and guidance: Provide technical leadership and knowledge-sharing to the engineering team, fostering best practices in machine learning and large language model development. Good to Have: • Exposure to frontend frameworks (React, Next.js) for fullstack roles. • Understanding of model evaluation, fine-tuning, or LLMOps. • Experience building multi-tenant or enterprise SaaS platforms. Originally posted on Naukri: https://www.naukri.com/job-listings-principal-genai-engineer-backend-hybrid-marathalli-turing-global-india-bengaluru-10-to-18-years-190826017995
Multiagent Systems, Agentic AI, Knowledge Graphs, LangGraph, Generative AI, Vector DB, Fullstack Development, Graph DB Modelling, Backend Development