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Junior LLM Engineer
Job Title: Junior LLM Engineer
Location: Fremont, CA
Mandatory Skills: Python, Agentic frameworks (LangChain / LangGraph / Semantic Kernel / AutoGen etc.), RAG, fine-tuning, and multi-agent orchestration, Azure OpenAI/OpenAI/other enterprise LLMs
Experience Requirements : 10+ years of experience in software engineering, machine learning, data science, or artificial intelligence . 3+ years with LLM frameworks, evaluation tools, or observability platforms like Langfuse, LangChain, Azure AI, etc.
Qualifications: Bachelor's or master's degree in computer science, Engineering, or a related field.
Key Skills: Splunk, PowerShell, or Python , ServiceNow, Jira, Logs Monitoring, Confluence and SharePoint
Skill Requirements: Strong Experience on Agentic frameworks ( LangChain / LangGraph / Semantic Kernel / AutoGen etc.). Hands-on expertise in multiagent orchestration and lifecycle management. Proficiency with Retrieval-Augmented Generation (RAG), fine-tuning , and multi-agent orchestration. Good understanding of advanced RAG patterns : hierarchical chunking , embedding strategies, vector DB selection, semantic filtering , context window optimization. Strong familiarity with Vector databases, RAG pipelines, Embedding models, Retrieval strategies . Proficiency in LLM Platforms : Azure OpenAI/OpenAI/other enterprise LLMs (with exposure LLM APIs and frameworks). Experience integrating LLMs into enterprise SDLC workflows. Experience in Designing multiagent systems ( Document Agent, Requirement Agent, Scenario Agent, Test Case Agent, Automation Agent ) with deterministic handoffs and feedback loops. Familiarity with data governance , responsible AI practices, AI ethics , and compliance. Experience with: Prompt layer refinement , fewshot prompting, Structured output generation, Guardrails to avoid hallucinated requirements or test steps Experience implementing end-to-end AI-driven workflows . Exposure to parallel document processing and largescale agent concurrency Experience with incremental regeneration strategies Experience building AI copilots for enterprise workflows.
Location: Fremont, CA
Mandatory Skills: Python, Agentic frameworks (LangChain / LangGraph / Semantic Kernel / AutoGen etc.), RAG, fine-tuning, and multi-agent orchestration, Azure OpenAI/OpenAI/other enterprise LLMs
Experience Requirements : 10+ years of experience in software engineering, machine learning, data science, or artificial intelligence . 3+ years with LLM frameworks, evaluation tools, or observability platforms like Langfuse, LangChain, Azure AI, etc.
Qualifications: Bachelor's or master's degree in computer science, Engineering, or a related field.
Key Skills: Splunk, PowerShell, or Python , ServiceNow, Jira, Logs Monitoring, Confluence and SharePoint
Skill Requirements: Strong Experience on Agentic frameworks ( LangChain / LangGraph / Semantic Kernel / AutoGen etc.). Hands-on expertise in multiagent orchestration and lifecycle management. Proficiency with Retrieval-Augmented Generation (RAG), fine-tuning , and multi-agent orchestration. Good understanding of advanced RAG patterns : hierarchical chunking , embedding strategies, vector DB selection, semantic filtering , context window optimization. Strong familiarity with Vector databases, RAG pipelines, Embedding models, Retrieval strategies . Proficiency in LLM Platforms : Azure OpenAI/OpenAI/other enterprise LLMs (with exposure LLM APIs and frameworks). Experience integrating LLMs into enterprise SDLC workflows. Experience in Designing multiagent systems ( Document Agent, Requirement Agent, Scenario Agent, Test Case Agent, Automation Agent ) with deterministic handoffs and feedback loops. Familiarity with data governance , responsible AI practices, AI ethics , and compliance. Experience with: Prompt layer refinement , fewshot prompting, Structured output generation, Guardrails to avoid hallucinated requirements or test steps Experience implementing end-to-end AI-driven workflows . Exposure to parallel document processing and largescale agent concurrency Experience with incremental regeneration strategies Experience building AI copilots for enterprise workflows.
For applications and inquiries, contact: hirings@openkyber.com
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