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# Senior AI Engineer

- **Company:** Intellisoft Inc
- **Location:** Los Angeles, CA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** LangGraph Framework, Clean Code Principles, Artificial Intelligence, Amazon Web Services, Microsoft Azure, Continuous Integration, Python (Programming Language), Machine Learning, SQL Databases, Google Cloud, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Generative AI, Agentic-AI, Codebase, Machine Learning Operations, Cloud Integration
- **Published:** November 11, 2026
- **Apply:** https://www.dice.com/job-detail/ac94f9b5-d15b-4c57-9aa2-72b69d6eab18

## About the Role

8-13 years of experience in ML/AI systems
2+ years hands-on experience with LLMs (RAG, agents, prompt engineering)
Strong proficiency in Python, LangGraph, and SQL
Experience deploying GenAI systems on AWS / Azure / Google Cloud Platform

## Description

Turing is hiring a Principal GenAI Engineer with strong expertise in LLMs to lead
enterprise-scale AI implementations for Fortune 500 clients. This role focuses on building RAG
systems that combine structured semantic reasoning with advanced LLM architectures to
deliver scalable, explainable, production-grade AI solutions., Develop and optimize LLM-based solutions: Lead the design and deployment of
large language models, leveraging techniques like prompt engineering,
retrieval-augmented generation (RAG), and agent-based architectures.
Codebase ownership: Build and maintain/review high-quality, efficient code in
Python (using frameworks like LangChain/LangGraph) and SQL, focusing on reusable
components, scalability, and performance best practices.
Cloud integration: Aide in deployment of GenAI applications on cloud platforms
(Azure, Google Cloud Platform, or AWS), optimizing resource usage and ensuring robust CI/CD
processes.
Cross-functional collaboration: Work closely with product owners, data scientists,
and business SMEs to define project requirements, translate technical details, and
deliver impactful AI products.
Mentoring and guidance: Provide technical leadership and knowledge-sharing to the
engineering team, fostering best practices in machine learning and large language