Generative AI Engineer

Overview

On Site
Full Time
Part Time
Accepts corp to corp applications
Contract - Independent
Contract - W2

Skills

Decision-making
User Experience
FOCUS
Collaboration
Research
Scalability
Python
Flask
Django
Large Language Models (LLMs)
LangChain
Autogen
Machine Learning (ML)
TensorFlow
PyTorch
scikit-learn
Amazon Web Services
Google Cloud Platform
Google Cloud
Microsoft Azure
Docker
Kubernetes
Analytical Skill
Conflict Resolution
Problem Solving
Artificial Intelligence
Regulatory Compliance
Cloud Computing
Vector Databases
SANS
Machine Learning Operations (ML Ops)
Continuous Integration
Continuous Delivery

Job Details

Hiring: W2 Candidates Only



Visa: Open to any visa type with valid work authorization in the USA



Level: Mid to Lead positions

Job Overview

We are seeking a highly skilled AI Engineer with strong expertise in Agent Development, Large Language Models (LLMs), and Python. In this role, you will design, build, and deploy intelligent AI/ML solutions that drive automation, improve decision-making, and enhance user experience.

Key Responsibilities

Design and develop AI/ML applications with a focus on agent-based systems and LLM integration.

Build, fine-tune, and optimize machine learning models for production environments.

Develop robust and scalable APIs and backend services in Python.

Collaborate with data engineers, software developers, and product managers to deliver end-to-end AI solutions.

Research and evaluate emerging AI/ML frameworks, tools, and methodologies to improve solution effectiveness.

Ensure security, scalability, and performance of deployed models and AI services.

Required Skills & Qualifications

Strong programming experience in Python (FastAPI, Flask, or Django a plus).

Hands-on experience with Large Language Models (LLMs) such as OpenAI, Hugging Face, or similar.

Proficiency with agent development frameworks (LangChain, AutoGen, or equivalent).

Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.

Familiarity with cloud platforms (AWS, Google Cloud Platform, Azure) and containerization (Docker/Kubernetes).

Strong analytical and problem-solving skills with the ability to work independently and in team settings.

Nice to Have

Experience in AI security and compliance in cloud-native environments.

Familiarity with vector databases (Pinecone, Weaviate, FAISS).

Exposure to MLOps tools and practices (CI/CD pipelines, model monitoring, etc.).

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.