GENAI Lead

Overview

Remote
$100,000 - $160,000
Full Time

Skills

GenAI
Vector DB
RAG Pipeline
Python / PySpark
ML
NLP

Job Details

GEN AI Lead
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
Present and discussion with customers on solution and proposals
Interact with customers to understand requirements
Design, develop, and deploy AI / GenAI / Agentic systems.
Conduct exploratory data analysis (EDA) to understand data characteristics.
Optimize performance and efficiency of ML Models/LLMs.
Work with hardware and software infrastructure for LLMs.
Collaborate with researchers, data scientists, and prompt/AI/data engineers.
Communicate insights to inform business decisions
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.