Principal Forward Deployed AI Engineer
Role overview
We are looking for an elite engineer who builds like a hacker and communicates like a consultant. You will not just be building models in a notebook; you will be deployed to the front lines to build, architect, and ship end-to-end Agentic AI products directly for our most strategic customers.
This is a high-stakes role. You will face "tricky" customers who have vague requirements and high expectations. Your job is to translate their chaos into technical order, write production-grade code, and deploy autonomous agents that solve their actual business problems.
Responsibilities
- check_circle Build & Deploy (60%):
- check_circle Customer Engineering (40%):
- check_circle Experience: 8–12 years of total engineering experience. You started as a strong Software Engineer and evolved into an AI specialist.
- check_circle Education: B.S./M.S. in Computer Science, Math, or Physics from a top-tier institution (IIT, MIT, Stanford, Harvard, Berkeley, CMU, or similar global top-ranking universities).
- check_circle Deep AI Fluency: You aren't just calling APIs. You understand RAG implementation nuances, vector database optimization, fine-tuning (LoRA/PEFT), and the architecture of agentic loops.
- check_circle Production Engineering: Experience with end-to-end deployment (AWS/GCP/Azure, CI/CD pipelines, Terraform, Docker).
- check_circle Thick Skin & High EQ: You don't get flustered when a customer changes their mind for the third time in a week. You can hold your ground with a CTO and explain "why not" to a CEO.
- check_circle Extreme Attention to Detail: You catch the edge cases that others miss. You obsess over error handling, retry logic in agents, and data privacy.
- check_circle Grit: You enjoy the "messy" work of integrating legacy enterprise data just as much as prompting the latest model.
- check_circle Public Code: A visible GitHub footprint is very helpful. We want to see your side projects, your contributions to open source, or your experiments with LLMs. Please include your GitHub link in your application.
- check_circle Languages: Python (Expert).
- check_circle AI/Data (Expertise in all is not required): PyTorch, LangChain, LlamaIndex, Pinecone/Weaviate, OpenAI/Anthropic APIs, HuggingFace.
- check_circle Infra (Expertise in all is not required): Kubernetes, Terraform, AWS/GCP.
- check_circle We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value.
- check_circle We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection
- check_circle We are Al forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity.
- check_circle Amazing work culture (Super collaborative & supportive work environment; 5 days a week)
- check_circle Awesome colleagues (Surround yourself with top talent from Meta, Google, LinkedIn etc. as well as people with deep startup experience)
- check_circle Competitive compensation
- check_circle Flexible working hours
About the company
Based in San Francisco, California, 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. Turing accelerates frontier research with high-quality data, specialized talent, and training pipelines that advance thinking, reasoning, coding, multimodality, and STEM. For enterprises, Turing builds proprietary intelligence systems that integrate AI into mission-critical workflows, unlock transformative outcomes, and drive lasting competitive advantage.
Recognized by Forbes, The Information, and Fast Company among the world's top innovators, Turing's leadership team includes AI technologists from Meta, Google, Microsoft, Apple, Amazon, McKinsey, Bain, Stanford, Caltech, and MIT. Learn more at www.turing.com
Tags & Focus Areas
About turing
Note: The job is a remote job and is open to candidates in USA. Turing is one of the world’s fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems. They are seeking a Content Analyst to assist in fine-tuning and improving large language models, conducting research, and providing feedback to enhance AI capabilities.