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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:
PostgreSQL, Node.js, Angular, Typescript, Docker, Azure, AWS, LangChain, RAG embeddings, LLMs, LangGraph, vector database
Skills:
Gdpr, Microservices, Tensorflow, Iso 27001, MLops, Pytorch, Docker, Data Privacy, Restful Apis, Kubernetes, Python, Anthropic Claude, LangChain, Generative AI, Hugging Face, SOC 2, AI automation frameworks, OpenAI ChatGPT, LlamaIndex
Skills:
Google Apis, Sql, node.js, React, Gcp, Docker, Typescript, Rest Apis, Azure, Kubernetes, Python, AWS, prompt tuning, embeddings, vector databases, LLM architecture, RAGs, FastAPIs
Skills:
Sql, Python, Machine Learning, Agents, Langchain, LLM techniques, Langgraph, RAG, prompt engineering, Generative AI
Skills:
Sql, Django, REST, Flask, Swagger, Postgres, Redis, FastAPI, Kubernetes, Python, Azure, Restful Apis, attention tokens, context window, AIML, Core AI, LLM behavior, data processing pipelines, MCP, RAG, automation testing frameworks, operational monitoring, Llm, Transformers, OpenAPI, model evaluation procedures, MCP Model Context Protocol, observability, FastMCP, Docket
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