TELECOMMUTE AI Engineer

Isite Technologies Inc

United States

3 days ago

Apply on www.dice.com

Prepare application

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Experienced

Experience required

2 years minimum

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Software Applications Optical Character Recognition (OCR) Microsoft Azure Cloud Computing Databases Data Mining Database Queries Django Web Framework JSON

+22 more

Python (Programming Language) NoSQL Tensorflow Web Services Scripting Google Cloud Enterprise Software Applications Microsoft Power Automate Pytorch Flask (Web Framework) Large Language Models Multi-Agent Systems Generative AI Git Fastapi Containerization Scikit Learn Uipath Restful APIs Data Pipelines Automation Anywhere Docker

Job description

Design and develop Python-based automation solutions to streamline business processes.
Build AI-powered applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI agents.
Develop reusable Python libraries, APIs, and automation frameworks.
Integrate enterprise applications using REST APIs, web services, and databases.
Build intelligent document processing, OCR, and workflow automation solutions.
Develop data pipelines for data extraction, transformation, and analytics.
Create proof-of-concepts (POCs) and rapidly prototype AI use cases.

Requirements

Strong proficiency in Python (3.x).
Experience with automation frameworks and scripting.
Hands-on experience with FastAPI, Flask, or Django.
Experience working with RESTful APIs and JSON.
Strong SQL skills and experience with relational and NoSQL databases.
Experience with Git and CI/CD pipelines.
Knowledge of cloud platforms such as AWS, Azure, or Google Cloud.
Understanding of Docker and containerized deployments. AI & Automation Skills
Experience with OpenAI, Anthropic, or other LLM APIs.
Experience using LangChain, LangGraph, LlamaIndex, or similar AI orchestration frameworks.
Knowledge of vector databases such as Pinecone, ChromaDB, or FAISS.
Experience building RAG applications and AI assistants.
Familiarity with machine learning frameworks such as Scikit-learn, TensorFlow, or PyTorch.
Experience with OCR solutions and intelligent document processing.
Knowledge of robotic process automation (RPA) platforms such as UiPath, Automation Anywhere, or Power Automate is an advantage