GenAI Engineer

MACHINE LEARNING TECHNOLOGIES LLC; Engineer Springs (CA); On-site; USD 140,000 - 210,000; Full time

Job summary

Machine Learning Technologies LLC seeks a GenAI Engineer in California to lead the development of intelligent AI agents and RAG-based applications. You will architect RAG pipelines, manage data workflows, and deploy autonomous agents using LLMs and multi-modal models.

You will implement advanced AI algorithms, integrate external knowledge sources, and design scalable production-grade GenAI systems within a healthcare-focused domain.

Qualifications

• Strong Python programming with AI libraries (TensorFlow, PyTorch, Transformers).
• Hands-on experience building GenAI systems and RAG-based apps.

Responsibilities

• Lead development of intelligent AI agents and RAG-based applications.
• Architect and implement RAG pipelines with external knowledge sources and embeddings.
• Design and deploy custom AI agents using LLMs and multi-modal models.
• Develop data pipelines for pre-processing, augmentation, and synthetic data generation.
• Ensure robust data handling: cleaning, labeling, and structuring datasets.

Skills

Python

TensorFlow

PyTorch

HuggingFace

Transformers

RAG pipelines

LLMs

Multi-modal models

Tools

Copilot Studio

Job description

Job Overview

• Job ID: J52926
• Job Title: GenAI Engineer
• Location: GenAI Engineer, CA
• Duration: 12 Months + Extension
• Domain Exposure: Healthcare
• Work Authorization: US Citizen,Green Card,OPT-EAD,CPT,H-1B,H4-EAD,L2-EAD,GC-EAD
• Client: To Be Discussed Later
• Employment Type: W-2, 1099, C2C

Job Description

We are seeking a highly skilled and innovative AI Engineer to join our team and lead the development of intelligent AI agents and Retrieval-Augmented Generation (RAG)-based applications. This role is ideal for someone passionate about pushing the boundaries of applied AI, with hands‑on experience in building scalable, production‑grade Generative AI (GenAI) systems and advanced Copilot Studio agent capabilities.

Key Responsibilities

• Demonstrate advanced programming expertise, particularly in Python, with deep proficiency in AI-centric libraries such as TensorFlow, PyTorch, and Hugging Face Transformers.
• Architect and implement Retrieval-Augmented Generation (RAG) pipelines to enhance model performance using external knowledge sources, including document chunking, embedding generation, and retrieval systems.
• Design, develop, and deploy Custom AI agents capable of autonomous decision‑making and task execution using LLMs and multi‑modal models.
• Implement and manipulate complex algorithms essential for developing and optimizing generative AI models.
• Manage data pipelines involving data pre-processing, augmentation, and synthetic data generation to enhance model training and performance.
• Ensure robust data handling practices including cleaning, labeling, and structuring datasets for generative AI workflows.
• Design MS Copilot Studio Agent Builder advanced skills, including custom plugin development, adaptive orchestration of multiple AI skills and APIs, contextual memory management, dynamic prompt engineering, and secure data handling.
• Agent Orchestration
• Trigger Management
• Automation Workflow
• Flow Design: Create logical, scalable flows for complex business processes.
• Tool Integration: Use Copilot's built‑in connectors to integrate enterprise apps and services seamlessly.

Equal Opportunity Employer

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.