Principal AI Engineer - Frontier Data

requirements, and steer "tricky" customers toward technically feasible solutions without breaking rapport. Translate technical constraints into business value for non-technical executives. Generate high-quality data for our customers and ability to review the data generated by other experts. This is one of the most critical aspects of

the role. The "Must-Haves" Experience: 8–12 years of total engineering experience. You started as a strong Software Engineer and evolved into an AI specialist. 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). 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. Production Engineering: Experience with end-to-end deployment (AWS/GCP/Azure, CI/CD pipelines, Terraform, Docker). The "Why You" (Soft Skills) 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. Extreme Attention to Detail: You catch the edge cases that others miss. You obsess over error handling, retry logic in agents, and data privacy. Grit: You enjoy the "messy" work of integrating legacy enterprise data just as much as prompting the latest model. What will set you apart 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. Tech Stack Languages: Python (Expert). AI/Data (Expertise in all is not required) : PyTorch, LangChain, LlamaIndex, Pinecone/Weaviate, OpenAI/Anthropic APIs, HuggingFace. Infra (Expertise in all is not required) : Kubernetes, Terraform, AWS/GCP.

Compensation 232k-260k base + variable + equity Values 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. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection 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. Advantages of joining Turing 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 Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here .

A meeting lands on your calendar

If they’re a yes, I book the chat. You show up — that’s the whole job-hunt.