Generative AI Engineer
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Locations: Gurgaon/Chennai/Bangalore
Experience: 4-10years
We are seeking a talented and passionate GenAI Developer with strong expertise in Google Cloud Platform (GCP) and Python to design, develop, and deploy cutting-edge generative AI solutions. The ideal candidate will be instrumental in leveraging GCP's AI services to build scalable, robust, and performant GenAI applications that solve complex business problems. You will work on the full lifecycle of GenAI projects, from ideation and prototyping to deployment and optimization, contributing to the advancement of our AI capabilities.
Roles & Responsibilities
Design, develop, and implement generative AI applications using Python and GCP's AI/ML services (e.g., Vertex AI, GenAI APIs, Google Kubernetes Engine, Cloud Functions, BigQuery).
Collaborate with product managers, data scientists, and other engineers to understand requirements and translate them into technical specifications for GenAI solutions.
Stay up-to-date with the latest advancements in generative AI, large language models (LLMs), and related technologies.
Develop and integrate APIs and services for seamless interaction between GenAI models and existing systems.
Participate in code reviews, contribute to architectural discussions, and promote best practices within the team.
Document technical designs, processes, and model specifications.
Job ID: 151908635
Skills:
Matplotlib, Machine Learning, Scipy, Sql, Deep Learning, Tensorflow, Numpy, Git, Pandas, Pytorch, Seaborn, Python, Statistics
Skills:
Tensorflow, Pytorch, Python, LangChain, AutoGen, LangGraph, fine-tuning, deep learning frameworks, prompt engineering
Skills:
Git, Rest Apis, Python, LangGraph, Vector Databases, Agentic AI, Azure AI Foundry, Microsoft Copilot Studio
Skills:
Machine Learning, MLops, Azure, Summarization, Python, Entity Extraction, LLMops, NLP Techniques, Model Training, Arize, Fine-Tuning, Agentic AI, Classification, Langfuse, RAG Prompt Optimization, LLMOps Platforms
Skills:
Distributed Systems, Technical Leadership, Microservices, Typescript, Gcp, Rest Apis, Azure, Solution Architecture, Python, AWS, Tool Calling, CI CD, Context Engineering, Claude AI, Vector Databases, Enterprise AI Deployment, Multi-Agent Systems, semantic search, RAG, Prompt Engineering
