Posted:4 days ago|
Platform:
On-site
Full Time
Develop and fine-tune applications using LLMs (e.g., OpenAI, Claude, Gemini).
Deploy and manage custom open-source models (e.g., LLaMA, DeepSeek).
Design and implement Retrieval-Augmented Generation (RAG) workflows.
Build and maintain AI agentic workflows for autonomous task execution.
Conduct model evaluation and performance benchmarking.
Leverage cloud AI services (AWS, GCP, or Azure) for scalable deployment.
[Optional] Integrate with the MCP server for interactive applications.
[Optional] Work with conversational AI characters (e.g., Convai).
Proven experience working with foundation models and LLM APIs.
Hands-on experience in deploying open-source models in production.
Solid understanding of vector stores and RAG architectures.
Experience with multi-step AI agent frameworks or toolchains (LangChain, AutoGen, etc).
Strong knowledge of cloud services for AI workloads.
Familiarity with prompt engineering, model evaluation techniques, and observability.
BigStep Technologies
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