Full Stack Engineer

Job Title

Full Stack Developer (Python & JavaScript) – AI Experience

Location:

Employment Type:

Experience Required:

About Us

Turing

Turing supports customers in two core ways:

1. 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.

2. 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

Full Stack Developer

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