Gen AI Engineer: Build LLM-Powered Apps with RAG & Agents

InfoDyne Solutions, LLC; Menlo Park (CA); Hybrid; USD 140,000 - 210,000; Full time

Job summary

InfoDyne Solutions, LLC is seeking a Gen AI Engineer in a hybrid role in Menlo Park to build scalable LLM-powered applications, RAG pipelines, and AI agents. You will integrate internal data, APIs, and vector stores, while delivering reliable, secure Python services.

You will work with product, data, and engineering teams to translate requirements into practical AI solutions, design evaluation frameworks, and ensure performance and safety in production systems.

Qualifications

• ,
• Proficient Python programming and software development.

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.

Skills

Python programming

LLMs & RAG pipelines

agent frameworks & APIs

REST APIs & cloud platforms

analytical & collaboration skills

Tools

LangChain

LlamaIndex

Git

Job description

InfoDyne Solutions, LLC is seeking a Gen AI Engineer in a hybrid role in Menlo Park to build scalable LLM-powered applications, RAG pipelines, and AI agents. You will integrate internal data, APIs, and vector stores, while delivering reliable, secure Python services.

You will work with product, data, and engineering teams to translate requirements into practical AI solutions, design evaluation frameworks, and ensure performance and safety in production systems.