Job Description

Position Overview

Turing is seeking experienced individuals with Large Language Model (LLM) expertise to contribute to solving business challenges for Fortune 500 clients. As a key member of the Turing GenAI delivery organization, you will participate in GenAI projects, collaborating with a diverse team of Turing engineers. Our GenAI delivery organization has a proven track record of implementing industry-leading multi-agent LLM systems, RAG systems, and Open Source LLM deployments for major enterprises.

About Turing

Turing, based in Palo Alto, California, is a rapidly growing AI company dedicated to advancing and deploying sophisticated AI systems. We empower clients by collaborating with leading AI labs to enhance frontier model capabilities in areas such as thinking, reasoning, coding, agentic behavior, multimodality, multilingualism, STEM, and frontier knowledge. Additionally, we leverage this expertise to build real-world AI systems that address critical priorities for Fortune 500 companies and government institutions.

Turing has been recognized with numerous awards, including Forbes's "One of America's Best Startup Employers," #1 on The Information's annual list of "Most Promising B2B Companies," and Fast Company's annual list of the "World's Most Innovative Companies." Our leadership team comprises AI technologists from industry leaders such as Meta, Google, Microsoft, Apple, Amazon, Twitter, McKinsey, Bain, Stanford, Caltech, and MIT.

Founded in 2018, Turing is the world's first AI-powered tech services company, revolutionizing tech services with AI-vetted talent, AI-accelerated development, and access to AI transformation experts who have shaped iconic Silicon Valley companies. We have experienced significant growth, boasting over two million global developers on our Talent Cloud and serving 900+ clients.

Requirements

• Experience: 12+ years of professional hands-on engineering experience, with at least 5-6+ years focused on building AI/ML models and systems.
• Generative AI (LLM) Experience: 1+ years of experience developing Generative AI (LLM) applications using techniques such as prompt engineering, RAG, and/or agents.
• GenAI Architecture: Expertise in architecting GenAI applications/systems using various frameworks and cloud services.
• Cloud Proficiency: Good proficiency in utilizing cloud services from Azure, GCP, or AWS for building GenAI applications.
• Programming Skills: Expert proficiency in Python, Langchain/Langgraph, and SQL is mandatory.
• Team Leadership: Experience in guiding engineering teams towards a technical roadmap.
• Communication: Excellent communication skills for effective collaboration with business Subject Matter Experts (SMEs).

Roles & Responsibilities

• Technical Roadmap Development: Build technical roadmaps based on business requirements and take ownership of their delivery.
• Team Leadership & Execution: Lead the engineering team in executing the technical roadmap, ensuring timely delivery and client satisfaction.
• LLM Solution Development: Design, train, fine-tune, and deploy large language models, utilizing techniques like prompt engineering, retrieval-augmented generation (RAG), and agent-based architectures.
• Codebase Ownership: Maintain high-quality, efficient code in Python.

Employment Type

• [Not Specified]

Location Type

• [Not Specified]

Salary

• [Not Specified]

Application Instructions

• [Not Specified]