Engineering Manager, Generative AI

August 29

Apply Now

Receive Emails with Similar Jobs

Turing

WebsiteLinkedInAll Job Openings

Artificial Intelligence • SaaS • Enterprise

Turing is a leading company in the field of artificial intelligence, specializing in the advancement of AGI (Artificial General Intelligence) and the evaluation and training of large language models (LLMs). Turing offers a comprehensive range of AI solutions, including model performance assessments, multimodal capabilities integration, and custom engineering for enterprises looking to optimize their AI operations. The company bridges cutting-edge AI research with practical applications, empowering organizations to leverage advanced AI for various real-world challenges.

1001 - 5000 employees

Founded 2018

🤖 Artificial Intelligence

☁️ SaaS

🏢 Enterprise

📋 Description

• Build the technical roadmap given a business requirement and own the delivery of the same. • Lead the engineering team toward a technical roadmap and ensure timely execution of the roadmap to achieve customer satisfaction. • 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.

🎯 Requirements

• 12+ years of professional experience in building Machine Learning models & systems • 1+ 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. • Expert in architecting GenAI applications/systems using various frameworks & cloud services • Good proficiency in using various cloud services from Azure, GCP, or AWS for building the GenAI applications • Experience in driving the engineering team toward a technical roadmap. • Excellent communication skills to effectively collaborate with business SMEs

🏖️ Benefits

• Amazing work culture (Super collaborative & supportive work environment; 5 days a week) • Awesome colleagues (Surround yourself with top talent from Meta, Google, LinkedIn etc. as well as people with deep startup experience) • Competitive compensation • Flexible working hours • Full-time remote opportunity