Generative AI Applications Engineer

Jobtome; Phoenix (AZ); On-site; USD 120,000 - 180,000; Full time

Job summary

Jobtome is seeking an experienced AI Applications Developer to design and implement AI-powered solutions. You will work with Generative AI, LLMs, and Python to build scalable applications and integrate AI capabilities into enterprise systems.

The role involves RAG, prompt engineering, vector databases, and collaboration with data scientists and engineers. Familiarity with cloud services (AWS/Azure/GCP) and secure, responsible AI practices is essential.

Qualifications

• 3+ years of software or application development, preferably involving AI solutions.

Responsibilities

• Design, develop, and deploy AI-powered applications and intelligent automation solutions.
• Build and integrate Generative AI and LLM-based applications.
• Develop AI solutions using Python, REST APIs, and modern AI frameworks.
• Implement Retrieval-Augmented Generation (RAG), prompt engineering, and vector database integrations.
• Integrate AI models and services into existing enterprise applications and workflows.
• Develop and optimize chatbots, virtual assistants, and AI-driven automation solutions.
• Work with cloud-based AI services and platforms such as AWS, Azure, or Google Cloud.
• Implement application security, data privacy, and responsible AI practices.
• Test, troubleshoot, and optimize AI application performance, accuracy, and scalability.
• Collaborate with data scientists, software engineers, product managers, and business stakeholders.
• Maintain technical documentation and follow software development best practices.

Skills

Python

Generative AI & LLMs

REST APIs

Git

CI/CD

Agile development

Cloud platforms (AWS/Azure/GCP)

AI model deployment

Analytical problem solving

Tools

LangChain

LlamaIndex

Semantic Kernel

Pinecone

FAISS

Chroma

Docker/Kubernetes

Job description

Jobtome is seeking an experienced AI Applications Developer to design and implement AI-powered solutions. You will work with Generative AI, LLMs, and Python to build scalable applications and integrate AI capabilities into enterprise systems.

The role involves RAG, prompt engineering, vector databases, and collaboration with data scientists and engineers. Familiarity with cloud services (AWS/Azure/GCP) and secure, responsible AI practices is essential.