Full Stack Developer with AI Experience - Wing Assistant

Wing Assistant - India

Berkeley (CA)

On-site

USD 120,000 - 170,000

Full time

14 days+
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Benefits offered by this job

Health Insurance
Performance Incentives
Job Security
Paid Training
Inclusive Culture
Upskilling Opportunities
100% Work-From-Home
Supportive Team
Career Growth
Fun Work Environment
Holiday & Overtime Pay

Job summary

Wing Assistant - India is seeking a versatile Full Stack Developer with AI experience to design and implement web applications that integrate AI-powered solutions. You will work across front-end and back-end, deploying and optimizing AI models in scalable apps.

Ideal candidates have 3–5 years of full-stack experience with JS/TS frameworks, Python/Node, and hands-on AI model deployment. This role offers 100% remote work and global collaboration opportunities.

Qualifications

  • Bachelor’s degree in Computer Science, Software Engineering, or related field (or equivalent experience).
  • Proven Full Stack Developer with 3–5 years of experience.
  • Strong front-end skills: JavaScript/TypeScript, React, Angular, or Vue.
  • Strong back-end skills: Node.js, Python/Django/Flask, Java/Spring Boot, or Go.
  • Hands‑on experience integrating or deploying AI/ML models and APIs (TensorFlow, PyTorch, Hugging Face, OpenAI, LangChain, etc.).
  • Proficiency with relational and non-relational databases (MySQL, PostgreSQL, MongoDB, etc.).
  • Familiarity with RESTful APIs, GraphQL, and microservices.
  • Experience deploying applications on cloud platforms (AWS, GCP, or Azure).

Responsibilities

  • Develop and maintain full-stack applications, ensuring seamless integration between front-end and back-end systems.
  • Build responsive, user-friendly interfaces while implementing AI‑driven features (e.g., chatbots, recommendation engines, predictive analytics, or automation tools).
  • Design and optimize APIs and microservices to connect AI/ML models with applications.
  • Collaborate with AI/ML engineers, data scientists, and product managers to translate business needs into technical solutions.
  • Deploy and monitor AI models in production environments, ensuring performance, scalability, and reliability.
  • Manage databases and implement efficient data pipelines for AI features.
  • Ensure security, compliance, and data privacy in AI-enabled applications.
  • Stay updated on emerging trends in full-stack development, cloud technologies, and AI/ML advancements.

Skills

JavaScript/TypeScript
React
Angular
Vue
Node.js
Python/Django/Flask
Java/Spring Boot
Go
AI/ML model deployment
RESTful APIs
GraphQL
Cloud platforms (AWS/GCP/Azure)
Databases (SQL/NoSQL)
MLOps concepts
Docker/Kubernetes

Education

Bachelor's degree in Computer Science/Software Engineering

Tools

TensorFlow
PyTorch
Hugging Face
OpenAI API
LangChain

Job description

Disclaimer: This is a generic job description for the position stated below. Actual tasks and tools will be discussed further when you reach the final interview stage. Please ensure you apply for the right job based on your location and experience. We prioritize people who can do this successfully!

Please whitelist the domains “lever.co” and “hire.lever.co” with your email provider to make sure you get our emails.

Full Satck Developer with AI Experience

Wing is on the exciting mission of redefining the future of work for companies worldwide! We are looking to be the one-stop shop for companies that are looking to build world-class teams & place their operations on autopilot.

We are seeking a Full Stack Developer with AI experience to design and implement end-to-end web applications that integrate AI-powered solutions. The ideal candidate is proficient in both front-end and back-end development, with hands‑on experience in deploying, integrating, and optimizing AI/ML models within scalable applications.

Key Responsibilities
  • Develop and maintain full-stack applications, ensuring seamless integration between front-end and back-end systems.
  • Build responsive, user-friendly interfaces while implementing AI‑driven features (e.g., chatbots, recommendation engines, predictive analytics, or automation tools).
  • Design and optimize APIs and microservices to connect AI/ML models with applications.
  • Collaborate with AI/ML engineers, data scientists, and product managers to translate business needs into technical solutions.
  • Deploy and monitor AI models in production environments, ensuring performance, scalability, and reliability.
  • Manage databases and implement efficient data pipelines for AI features.
  • Ensure security, compliance, and data privacy in AI-enabled applications.
  • Stay updated on emerging trends in full-stack development, cloud technologies, and AI/ML advancements.
Qualifications
  • Bachelor’s degree in Computer Science, Software Engineering, or related field (or equivalent experience).
  • Proven experience as a Full Stack Developer (3–5 years).
  • Strong front-end skills: JavaScript/TypeScript, React, Angular, or Vue.
  • Strong back-end skills: Node.js, Python/Django/Flask, Java/Spring Boot, or Go.
  • Hands‑on experience integrating or deploying AI/ML models and APIs (TensorFlow, PyTorch, Hugging Face, OpenAI, LangChain, etc.).
  • Proficiency in working with relational and non-relational databases (MySQL, PostgreSQL, MongoDB, etc.).
  • Familiarity with RESTful APIs, GraphQL, and microservices.
  • Experience deploying applications on cloud platforms (AWS, GCP, or Azure).
Preferred Skills
  • Experience with MLOps pipelines (Kubeflow, MLflow, Vertex AI, SageMaker).
  • Knowledge of data visualization tools/libraries (D3.js, Chart.js, Recharts).
  • Familiarity with containerization and orchestration (Docker, Kubernetes).
  • Understanding of serverless architecture and edge AI deployment.
  • Strong grasp of DevOps practices (CI/CD, automated testing, monitoring)
Technical Requirements
  • USB Headset with Noise Cancellation feature
  • Working Webcam
  • Computer with at least 1.8 GHz processor and at least 4GB RAM
  • Main Internet Service Speed: at least 25 Mbps wired connection
  • Backup Internet Service Speed: at least 10 Mbps
Benefits
  • Health Insurance (HMO)
  • Performance Incentives
  • Job Security and Stability
  • Paid Training
  • Inclusive Culture
  • Upskilling Opportunities
  • 100% Work-From-Home
  • Exceptionally Supportive Team
  • Opportunities for Career Growth
  • Fun Work Environment
  • Holiday & Overtime Pay
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