Principal GenAI Engineer

Title - Principal GenAI Engineer

Location: Onsite at NYC

Employment Type: Full Time

Based in Palo Alto California Turing is the worlds first AI-powered tech services company. It has reimagined tech services from the ground up with AI by offering AI-vetted and matched talent AI-accelerated development and access to AI transformation experts who have built many of the most iconic Silicon Valley companies.

Founded in 2018 the company has experienced tremendous growth with over two million global developers on its Talent Cloud and 900 clients. Turing has received numerous awards including Forbess 2022 One of Americas Best Startup Employers being ranked #1 in The Informations 2021 Annual List of most promising B2B Companies and Fast Companys Annual List of the Worlds Most Innovative Companies.

The companys leadership team comprises both AI technologists from leading organizations including Meta Google Microsoft Apple Amazon Twitter Stanford Caltech MIT as well as tech consulting veterans from Accenture Cognizant Capgemini McKinsey Bain and more.

About the role:

Turing is looking for people with LLM experience to join us in solving business problems for our Fortune 500 customers. You will be a key member of the Turing GenAI delivery organization and part of a GenAI project. You will be required to work with a team of other Turing engineers across different skill the past the Turing GenAI delivery organization has implemented industry leading multi-agent LLM systems RAG systems and Open Source LLM deployments for major enterprises.

Required skills

8 years of professional experience in building Machine Learning models & systems for Sr GenAI Engineer and 10 years for Staff GenAI Engineer

2 years of hands-on experience in how LLMs work & Generative AI (LLM) techniques particularly prompt engineering RAG and agents.

Expert proficiency in programming skills in Python Langchain/Langgraph and SQL is a must.

Understanding of Cloud services from various cloud services from Azure GCP or AWS for building the GenAI applications

Excellent communication skills to effectively collaborate with business SMEs

Roles & Responsibilities:

Develop and optimize LLM-based solutions: Lead the design training fine-tuning and deployment of large language models leveraging techniques like prompt engineering retrieval-augmented generation (RAG) and agent-based architectures.

Codebase ownership: Maintain 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 GCP 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 model development.

Continuous innovation: Stay abreast of the latest advancements in LLM research and generative AI proposing and experimenting with emerging techniques to drive o

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