Artificial Intelligence Developer

Rootlet Solution Technology; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

Rootlet Solution Technology seeks a highly motivated Generative AI Developer to design, develop, and deploy enterprise-grade Gen AI applications and intelligent AI assistants. You will work on LLMs, RAG, AI agents, prompt engineering, and enterprise AI integrations to build scalable, production-ready AI solutions.

The role involves designing AI-powered chatbots, copilots, and intelligent search, implementing RAG pipelines, and creating APIs for AI model integration.

Qualifications

• Strong experience in Python and Gen AI/LLMs.
• Experience with enterprise AI integrations and prompts.
• Hands-on with OpenAI APIs and AI agents.
• Familiarity with embedding and retrieval techniques.
• Experience with REST APIs and microservices.
• Knowledge of cloud platforms (AWS/Azure/GCP).
• Docker, Kubernetes, and CI/CD experience.

Responsibilities

• Design and build Gen AI applications for enterprise use cases.
• Deploy AI solutions using LLMs, agents, and frameworks.
• Develop AI-powered chatbots, copilots, and intelligent search.
• Implement RAG pipelines with vector databases.
• Create APIs and backend services for AI models.
• Work on prompt engineering, context management, evaluation, and optimization.
• Fine-tune models for performance and scalability.
• Integrate AI with enterprise systems and apps.
• Collaborate with product and engineering teams on AI use cases.
• Ensure governance, security, and compliance in AI solutions.
• Research emerging Gen AI tools and architectures.

Skills

Python

Gen AI & LLMs

OpenAI APIs

LangChain

LlamaIndex

Vector databases

RAG architecture

AI agents & tools

Prompt engineering

Embeddings & retrieval

REST APIs

SQL

NoSQL

Cloud platforms

Docker

Kubernetes

CI/CD

Tools

Docker

Kubernetes

CI/CD

APIs tooling

Job description

Role & responsibilities

We are looking for a highly motivated Generative AI Developer to design, develop, and deploy enterprise-grade Gen AI applications and intelligent AI assistants. The candidate will work on Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, prompt engineering, and enterprise AI integrations to build scalable, production-ready AI solutions.

Key Responsibilities

• Design and develop Generative AI applications for enterprise use cases


• Build and deploy AI solutions using LLMs, AI agents, and modern Gen AI frameworks


• Develop AI-powered chatbots, copilots, intelligent search, document understanding, and workflow automation solutions


• Implement RAG pipelines using vector databases and enterprise knowledge sources


• Create APIs and backend services for AI model integration


• Work on prompt engineering, context management, evaluation, and response optimization


• Fine-tune and optimize model performance, inference efficiency, and scalability


• Integrate AI solutions with enterprise systems, business applications, and third-party platforms


• Collaborate with product, business, and engineering teams to identify and implement AI use cases


• Ensure AI governance, security, responsible AI practices, and compliance standards


• Research and evaluate emerging Gen AI tools, frameworks, and architectures

Technical Skills

• Strong experience in Python


• Hands-on experience with Generative AI and LLM ecosystems:


• OpenAI APIs


• LangChain


• LlamaIndex


• Vector Databases


• RAG Architecture


• AI Agents & Tool Calling


• Experience in prompt engineering and LLM orchestration


• Understanding of embeddings, semantic search, and context retrieval techniques


• Experience with REST APIs and microservices architecture


• Database knowledge:


• SQL


• NoSQL


• Familiarity with cloud platforms:


• AWS / Azure / GCP


• Familiarity with Docker, Kubernetes, and CI/CD pipelinesRole & responsibilities