Generative AI Platform Engineer

Jobtailor; California (MO); On-site; USD 60,000 - 100,000; Full time

Job summary

Jobtailor is seeking a developer to design and build generative AI agents and AI platforms that leverage local and cloud-based LLMs. The role focuses on creating AI-powered products for intelligent reasoning, automation, and enhanced human-AI interaction, collaborating with users and stakeholders to define requirements and deliver impactful solutions.

You will own end-to-end development, including implementation, testing, debugging, documentation, and deployment of AI services and tools, working

Qualifications

• Bachelor's degree in CS/EE or related field.
• 3+ months experience with C++.
• 3+ months experience with Python.
• Experience with LangChain, LlamaIndex, AutoGen, Hugging Face.
• Knowledge of Retrieval-Augmented Generation (RAG) and vector databases (e.g., FAISS, Chroma).
• Experience with prompt engineering and UX/UI considerations for human-AI interaction.
• Familiarity with building simple AI agents, chatbots, or LLM-based applications.

Responsibilities

• Designs and builds generative AI agents and AI platforms leveraging local and cloud-based LLMs.
• Develops AI-powered products and solutions for intelligent reasoning, automation, and human-AI interaction.
• Collaborates with users and stakeholders to define requirements and deliver impactful AI solutions.
• Responsible for end-to-end development, including implementation, testing, debugging, documentation, and deployment of AI services, tools, and platforms.

Skills

Prompt engineering

UX/UI considerations

Human-AI interaction

Education

Bachelor's degree in CS/EE or related field

Tools

C++

Python

LangChain

LlamaIndex

AutoGen

Hugging Face

FAISS

Chroma

Job description

Jobtailor is seeking a developer to design and build generative AI agents and AI platforms that leverage local and cloud-based LLMs. The role focuses on creating AI-powered products for intelligent reasoning, automation, and enhanced human-AI interaction, collaborating with users and stakeholders to define requirements and deliver impactful solutions.

You will own end-to-end development, including implementation, testing, debugging, documentation, and deployment of AI services and tools, working