Overview
Remote
$100,000 - $140,000
Full Time
Skills
Python / PySpark
Vector DB
RAG Pipeline
RAG
GenAI
AI
LLM
RLHF
cloud
Azure
NLP
Job Details
Gen AI Engineer
Must Have Technical/Functional Skills
Programming languages (Python / PySpark)
Machine learning algorithms and architectures
Vector DB, RAG Pipeline - Architecting and implement RAG pipelines, integrating enterprise data with retrieval layers and language models.
Agentic AI System - Building and scaling Agentic AI systems capable of autonomous task planning, execution, and feedback loops.
Experience in Fine-tuning or training language models using enterprise datasets, optimizing for accuracy, efficiency, and business alignment.
Guardrails - Design and implement guardrails for AI safety, including hallucination detection, prompt policy enforcement, and access controls.
Agile Development - Collaborate cross-functionally using Agile workflows and contribute to rapid prototyping, iteration, and deployment
Experience in LLM s, Prompt Engineering, RLHF, and monitoring frameworks
Experience with cloud AI ecosystems: Azure OpenAI, AWS Bedrock, Google Vertex AI
Natural Language Processing (NLP) techniques (text analysis, summarization)
Roles & Responsibilities
Interact with customers to understand requirements
Design, develop, and deploy AI / GenAI / Agentic systems.
Integrate machine learning models / LLM into applications.
Optimize and monitor AI system performance.
Ensure system scalability and reliability.
Collaborate with offshore team, data scientists and MLOps engineers.
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.