Gen AI Engineer

Overview

Remote
Depends on Experience
Full Time

Skills

Access Control
Machine Learning (ML)
Machine Learning Operations (ML Ops)
Microsoft Azure
Natural Language Processing
Generative Artificial Intelligence (AI)
Large Language Models (LLMs)
Offshoring
Algorithms
Artificial Intelligence
Cloud Computing
Language Models
Prompt Engineering
PySpark
Python
Rapid Prototyping
Scalability
Vertex
Agile

Job Details

Title: Gen AI Engineer
Location: Remote

Job Overview:

We are looking for a skilled Gen AI Engineer with hands-on experience in developing and deploying advanced AI systems, including large language models (LLMs), RAG pipelines, and Agentic AI architectures. The ideal candidate will have a strong background in programming, machine learning, and cloud-based AI solutions, with the ability to build scalable and reliable AI applications aligned with enterprise needs.

Key Responsibilities:

  • Engage with customers to gather and understand business requirements.

  • Design, develop, and deploy GenAI, Agentic AI, and LLM-powered systems.

  • Build and integrate RAG (Retrieval-Augmented Generation) pipelines with enterprise data and language models.

  • Fine-tune or train language models using enterprise data, focusing on accuracy, performance, and business relevance.

  • Implement AI safety guardrails, including hallucination detection, prompt validation, and access controls.

  • Develop autonomous agentic systems for dynamic task execution with feedback loops.

  • Optimize and monitor the performance, reliability, and scalability of AI systems.

  • Work collaboratively with cross-functional teams including offshore developers, data scientists, and MLOps engineers.

  • Contribute to rapid prototyping, iteration, and deployment using Agile methodologies.

Required Skills:

  • Proficiency in Python and PySpark.

  • Strong understanding of machine learning algorithms and model architectures.

  • Experience with LLMs, prompt engineering, reinforcement learning from human feedback (RLHF), and monitoring frameworks.

  • Solid knowledge of NLP techniques (e.g., text analysis, summarization).

  • Familiarity with cloud-based AI platforms, such as:

    • Azure OpenAI

    • AWS Bedrock

    • Google Vertex AI

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.