Hiring For AI Solutions Engineer (Chatbot & AI Automation)

Infovenz; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

Infovenz is seeking an AI Solutions Engineer to design, develop, and deploy enterprise AI applications, chatbots, and AI agents. You will integrate Claude/OpenAI models with business systems, data, APIs, and automation platforms to boost productivity and efficiency.

You will work with cross-functional teams to identify AI opportunities, implement scalable architectures, ensure security and cost efficiency, and monitor production deployments.

Qualifications

• Experience delivering AI apps with LLMs (Claude/OpenAI).
• Experience building REST APIs and Python backends.
• Hands-on with RAG, embeddings, vector databases.
• Understand AI architecture, LLM integration, design.
• Experience integrating AI with databases and APIs.
• Able to develop, troubleshoot, deploy AI solutions beyond prompts.
• Strong analytical, problem-solving and communication skills.

Responsibilities

• Design and develop enterprise AI applications, intelligent chatbots, and AI agents.
• Build LLM-powered solutions using prompt engineering, RAG, and vector databases.
• Integrate AI applications with enterprise systems, databases, APIs, and knowledge bases.
• Develop AI-powered workflows and automation using Claude, OpenAI, and AI frameworks.
• Design AI architecture focusing on security, performance, scalability, and cost.
• Test, deploy, monitor, and improve AI applications in production.
• Collaborate with business and technical teams to identify AI opportunities.

Skills

LLMs Claude/OpenAI

Python programming

REST APIs

RAG & embeddings

AI architecture design

DB/API integration

Troubleshooting & deployment

Analytical communication

Tools

REST frameworks

OpenAI API

Claude

Vector databases

Backend services

Python libraries

Job description

Join us as an AI Solutions Engineer, where you will drive the design, development, and adoption of enterprise AI solutions across the organisation. You will architect, build, and deploy intelligent AI applications, enterprise chatbots, AI agents, and Claude-powered workflows, integrating Large Language Models (LLMs) with business systems, enterprise data, APIs, and automation platforms to improve productivity and operational efficiency.

Key Requirements

• Design and develop enterprise AI applications, intelligent chatbots, and AI agents.
• Build LLM-powered solutions using prompt engineering, Retrieval-Augmented Generation (RAG), and vector databases.
• Integrate AI applications with enterprise systems, databases, APIs, and internal knowledge bases.
• Develop AI-powered workflows and automation using Claude, OpenAI, and relevant AI frameworks.
• Design AI application architecture with a focus on security, performance, scalability, and cost efficiency.
• Test, deploy, monitor, and improve AI applications in production environments.
• Collaborate with business and technical teams to identify opportunities for AI adoption and automation.

Key Requirements What You Must Have

• Strong hands-on experience in developing AI applications using LLMs such as Claude, OpenAI, or equivalent models.
• Strong programming skills in Python and experience building REST APIs and backend services.
• Practical experience developing enterprise chatbots or AI assistants using RAG, embeddings, and vector databases.
• Good understanding of AI solution architecture, LLM integration, prompt engineering, and AI application design.
• Experience integrating AI applications with multiple databases, external APIs, or enterprise systems.
• Ability to develop, troubleshoot, and deploy working AI solutions, beyond using AI tools or writing prompts.
• Strong analytical, problem-solving, and communication skills.