Generative AI Engineer
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Role purpose: Design, build or support enterprise generative AI applications using commercial and open-source foundation
models. Work with business, data and engineering teams to deliver secure, scalable and measurable outcomes.
Core skills: Python, LLM APIs, transformers, embeddings, RAG, API integration.
Experience: Candidates should have up to 5 years of overall experience, including at least 1-2 years of relevant hands-on
experience in this role or closely related technologies.
Please send your updated profile to [Confidential Information].
Job ID: 149493287
Skills:
Pytorch, Python, AWS, GenAI, Agentic AI, Vector DB, MCP Server, RAG, Llm, EKS
Skills:
Google Apis, Sql, node.js, React, Gcp, Docker, Typescript, Rest Apis, Azure, Python, Kubernetes, AWS, prompt tuning, embeddings, LLM architecture, RAGs, FastAPIs
Skills:
scalable architecture , Machine Learning, Artificial Intelligence, Sql, Nosql, Nlp, System Design, FastAPI, Python, Generative AI, LLMs, LangGraph, RAG pipelines
Skills:
containerization , MLops, FastAPI, Python, LangChain, AWS Bedrock, LLMs, AI Agents, AI Observability, cloud-native deployments, CI CD, Azure AI Foundry, Semantic Kernel, AutoGen, LLM Evaluation, LangGraph, Vector Databases, RAG, MCP, OpenAI, Prompt Engineering
Skills:
PostgreSQL, Node.js, Angular, Typescript, Docker, Azure, AWS, LangChain, RAG embeddings, LLMs, LangGraph, vector database
