[Remote] Principal Forward Deployed AI Engineer

Note: The job is a remote job and is open to candidates in USA. Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises looking to deploy advanced AI systems. They are seeking a Principal Forward Deployed AI Engineer to design, build, and deploy intelligent applications using advanced AI technologies, while collaborating closely with customers to solve significant business challenges.

Responsibilities

• Design, develop, and optimize LLM-based solutions, including model design, fine-tuning, deployment, and application of techniques such as prompt engineering, Retrieval-Augmented Generation (RAG), and agent-based architectures
• Own and maintain high-quality, scalable, and efficient codebases in Python (using frameworks such as LangChain/LangGraph) and SQL, ensuring reusability, performance, and best engineering practices
• Drive cloud integration and deployment of GenAI applications on platforms such as Azure, AWS, or GCP, ensuring efficient resource utilization and robust CI/CD pipelines
• Collaborate closely with product managers, data scientists, and business SMEs to gather requirements, translate business needs into technical solutions, and deliver impactful AI-driven products
• Provide technical leadership, mentorship, and guidance to the engineering team, promoting best practices in machine learning and generative AI development
• Stay updated with the latest advancements in LLMs and generative AI, proactively experimenting with emerging techniques and incorporating innovations to improve model performance and system capabilities

Skills

• 8+ years of experience in software engineering, or solutions engineering, ideally in a customer-facing capacity, including at least 2+ years focused on building and deploying AI/ML models and systems
• 1+ year of experience developing Generative AI (LLM) applications using techniques such as prompt engineering, RAG (Retrieval-Augmented Generation), and/or agent-based frameworks
• Strong expertise in architecting and designing GenAI applications and systems using modern frameworks and cloud-native services
• Proficiency in working with cloud platforms such as AWS, Azure, or GCP to build, deploy, and scale GenAI solutions
• Strong programming skills in Python, along with hands-on experience in LangChain/LangGraph and SQL
• Proven ability to lead and drive engineering teams toward execution of a defined technical roadmap
• Excellent communication and stakeholder management skills, with the ability to collaborate effectively with business SMEs and cross-functional teams
• Bachelor's, Master's, or Ph.D. in Computer Science, Engineering, or a related technical field

Benefits

• Equity
• 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

Company Overview

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