I
Gen AI Engineer
InfoDyne Solutions, LLC
3 hours ago
Full-time
On-site
Menlo Park, California, United States
Location
Menlo Park, CA Mode
Hybrid with 3 days’ work from office. About The Role
We are seeking a Gen AI Engineer to build intelligent, scalable applications powered by large language models (LLMs). You will develop RAG solutions, AI agents, and Python-based services that solve real-world business problems while ensuring accuracy, reliability, security, and performance. Key Responsibilities
Design, develop, and deploy LLM-powered applications using RAG architectures, embeddings, vector databases, and prompt engineering. Build AI agents capable of reasoning, planning, tool usage, and multi-step task execution. Create evaluation frameworks, guardrails, and monitoring processes to improve model quality and safety. Integrate commercial and open-source LLMs with internal systems, APIs, and enterprise data. Develop clean, maintainable Python code and production-ready services. Collaborate with product, data, and engineering teams to translate requirements into effective AI solutions. Troubleshoot, optimize, and continuously improve application performance. Required Qualifications
Strong Python programming and software development skills. Practical experience with LLMs, RAG pipelines, embeddings, vector stores, and prompt engineering. Understanding of agent frameworks, function calling, APIs, and workflow orchestration. Familiarity with REST APIs, databases, Git, testing, and cloud platforms. Strong analytical, communication, and collaboration skills. Desired Qualifications
Experience with LangChain, LlamaIndex, model evaluation, fine-tuning, and deployment workflows. Nice-to-Have
Knowledge of MLOps, CI/CD, containerization, observability, and responsible AI practices.
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Menlo Park, CA Mode
Hybrid with 3 days’ work from office. About The Role
We are seeking a Gen AI Engineer to build intelligent, scalable applications powered by large language models (LLMs). You will develop RAG solutions, AI agents, and Python-based services that solve real-world business problems while ensuring accuracy, reliability, security, and performance. Key Responsibilities
Design, develop, and deploy LLM-powered applications using RAG architectures, embeddings, vector databases, and prompt engineering. Build AI agents capable of reasoning, planning, tool usage, and multi-step task execution. Create evaluation frameworks, guardrails, and monitoring processes to improve model quality and safety. Integrate commercial and open-source LLMs with internal systems, APIs, and enterprise data. Develop clean, maintainable Python code and production-ready services. Collaborate with product, data, and engineering teams to translate requirements into effective AI solutions. Troubleshoot, optimize, and continuously improve application performance. Required Qualifications
Strong Python programming and software development skills. Practical experience with LLMs, RAG pipelines, embeddings, vector stores, and prompt engineering. Understanding of agent frameworks, function calling, APIs, and workflow orchestration. Familiarity with REST APIs, databases, Git, testing, and cloud platforms. Strong analytical, communication, and collaboration skills. Desired Qualifications
Experience with LangChain, LlamaIndex, model evaluation, fine-tuning, and deployment workflows. Nice-to-Have
Knowledge of MLOps, CI/CD, containerization, observability, and responsible AI practices.
#J-18808-Ljbffr