AI Software Engineer

10 - 20 years

30 - 45 Lacs

Posted:None| Platform: Naukri logo

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Hybrid

Job Type

Full Time

Job Description

AI Software Engineer

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Looking for Senior Fullstack AI Engineer with Python, AI/ML, GenAI, LLM, and RAG combined with frontend technologies, who can build and deploy complex, end-to-end AI applications.

Core Responsibilities

End-to-End AI Application Development: Design, develop, and deploy full-stack applications that integrate Generative AI and Large Language Models (LLMs). This includes building both the AI-powered backend services and the user-facing interfaces.

Backend & AI Engineering: Use Python as the primary language to build robust APIs (RESTful, GraphQL) that serve AI models. Implement Retrieval-Augmented Generation (RAG) systems to enhance LLM performance and ground responses in specific, private data.

Frontend Development: Create intuitive and responsive user interfaces using technologies like React, Angular, or Vue.js. This ensures that the user can effectively interact with and benefit from the powerful AI models running on the backend.

System Architecture & Optimization: Architect scalable and high-performance solutions. The role involves designing the overall system, from data pipelines for AI models to cloud deployment strategies on platforms like AWS, Azure, or GCP.

Mentorship and Leadership: As a senior engineer, you'll be expected to mentor junior team members, conduct code reviews, and contribute to the team's technical strategy and best practices.

Key Skills and Qualifications

Python: Extensive experience with Python and its AI/ML libraries, such as PyTorch, TensorFlow, and Hugging Face.

Generative AI & LLMs: Hands-on experience with GenAI models, prompt engineering, fine-tuning, and integrating various LLMs (e.g., GPT-4, Llama, Gemini).

RAG: Practical experience in building and optimizing RAG pipelines, including working with vector databases like Pinecone or ChromaDB.

Frontend: Proficiency in JavaScript/TypeScript and a modern frontend framework like React.

Full Stack: Experience in building full-stack applications and understanding of microservices architecture and cloud-native development.

Please refer to the Company Profile: https://www.maantic.com/

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