Gen AI Developer

Overview

Hybrid
Depends on Experience
Full Time

Skills

API
Amazon Web Services
Artificial Intelligence
BERT
Cloud Computing
Collaboration
Computer Science
Data Science
Generative Artificial Intelligence (AI)
Good Clinical Practice
Google Cloud Platform
LangChain
Large Language Models (LLMs)
Machine Learning (ML)
Machine Learning Operations (ML Ops)
Microsoft Azure
Natural Language Processing
Open Source
Prompt Engineering
PyTorch
Python
Research
TensorFlow
Vector Databases
Generative

Job Details

Role: Gen AI Engineer
Location: Reston, VA (Hybrid)
Type: Full-Time

Job Description:
We are seeking a Generative AI Engineer to help design, develop, and deploy AI solutions using generative models. You will work with cross-functional teams to build intelligent applications leveraging large language models (LLMs), generative models (like GPT, DALL E, Stable Diffusion), and related technologies.
Key Responsibilities:

  • Develop and fine-tune generative AI models (e.g., GPT, BERT, LLaMA, Stable Diffusion).
  • Build applications that leverage LLMs for NLP tasks (summarization, Q&A, chatbot, code generation, etc.).
  • Integrate AI models into cloud platforms (AWS, Azure, Google Cloud Platform).
  • Work with prompt engineering, embeddings, and vector databases (e.g., Pinecone, FAISS, Weaviate).
  • Collaborate with data scientists, ML engineers, and product teams to deliver AI-powered features.
  • Stay updated with latest Gen AI trends, research, and open-source models.

Required Skills:

  • Strong programming skills in Python.
  • Experience with machine learning frameworks (e.g., TensorFlow, PyTorch).
  • Knowledge of generative models (LLMs, VAEs, GANs, Diffusion Models).
  • Familiarity with cloud services (AWS, Azure, or Google Cloud Platform).
  • Understanding of NLP, transformers, and prompt engineering.

Preferred Qualifications:

  • Bachelor s or Master s degree in Computer Science, AI, Data Science, or related field.
  • Experience with tools like LangChain, Hugging Face, OpenAI API, or similar.
  • Understanding of MLOps and model deployment strategies.
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.