Full Stack Engineer

Job Title Full Stack Developer (Python & JavaScript) – AI Experience Location:

Remote Employment Type:

Full-time Experience Required:

8+ Years About Us Headquartered in San Francisco, California,

Turing

is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two core ways: Accelerating frontier AI research

through high-quality data, advanced training pipelines, and access to top AI researchers specializing in software engineering, logical reasoning, STEM, multilinguality, multimodality, and autonomous agents. Enabling enterprise AI transformation

by helping organizations move AI from proof-of-concept to production-grade systems that deliver measurable business impact and long-term value on the P&L. Job Summary We are looking for an experienced

Full Stack Developer

with strong expertise in

Python, JavaScript, and AI/ML-driven applications . The ideal candidate will design, develop, and maintain scalable web applications while integrating AI capabilities such as machine learning models, data pipelines, and LLM-powered features into production systems. Key Responsibilities Design, develop, and maintain scalable full-stack web applications using Python and JavaScript Build and optimize backend services using

Django, Flask, or FastAPI Develop responsive and high-performance frontend interfaces using

React, Next.js, Vue.js, or Angular Integrate AI/ML models into applications (e.g., prediction APIs, NLP solutions, recommender systems, chatbots) Work with

RESTful APIs and GraphQL

for efficient data exchange Collaborate closely with data scientists to deploy, monitor, and optimize ML models in production Ensure application performance, scalability, reliability, and security Write clean, maintainable, testable, and well-documented code Participate in code reviews, architecture discussions, and system design sessions Deploy and manage applications on cloud platforms such as

AWS, GCP, or Azure Required Skills & Qualifications Strong proficiency in

Python Solid experience with

JavaScript (ES6+) Hands-on experience with frontend frameworks:

React, Next.js, Vue.js, or Angular Backend development experience with

Django, Flask, or FastAPI Strong understanding of

AI/ML concepts

(supervised & unsupervised learning, NLP, LLMs) Practical experience with AI/ML libraries such as

TensorFlow, PyTorch, Scikit-learn, Hugging Face Database experience with

PostgreSQL, MySQL, and/or MongoDB Familiarity with

Docker

and CI/CD pipelines Good understanding of

authentication, authorization, and security best practices Preferred / Nice-to-Have Skills Experience working with

LLMs , ChatGPT/OpenAI APIs,

LangChain , and vector databases (Pinecone, FAISS, Weaviate) Knowledge of

MLOps tools

such as MLflow, Airflow, or Kubeflow Experience with

microservices architecture Exposure to

cloud-native services

and serverless computing Familiarity with

data visualization and analytics tools