Full Stack AI Engineer

Jobtailor

Bengaluru

On-site

INR 3,500,000 - 6,000,000

Full time

14 days+

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Job summary

Jobtailor in Bengaluru is seeking an experienced senior full-stack engineer to design and deliver end-to-end AI-driven applications.

You will build scalable front-end interfaces with React/Vue/Angular, develop robust back-end services in Node.js or Python, integrate LLMs, deploy on cloud platforms, and ensure security and performance.

Qualifications

  • Bachelor's degree or equivalent experience required.
  • 6+ years of full-stack development experience.
  • Strong proficiency in JavaScript/TypeScript, Python, and modern front-end frameworks.
  • Experience with integrating AI models via APIs and with agentic frameworks.
  • Knowledge of vector databases and RAG techniques.

Responsibilities

  • Develop and implement end-to-end AI-driven applications, integrating generative AI models.
  • Build and maintain scalable front-end interfaces using modern web frameworks (React, Angular, Vue.js).
  • Design and develop robust back-end services using Node.js, Python, or other back-end technologies.
  • Integrate large language models (LLMs) and multimodal AI models into applications.
  • Optimize application performance, ensuring efficiency in AI inference and API response times.
  • Develop and maintain RESTful and GraphQL APIs for AI model interaction.
  • Deploy AI applications on cloud platforms (AWS, GCP, Azure) using containerization and serverless technologies.
  • Ensure security, scalability, and compliance of AI-driven applications.
  • Stay up to date with the latest advancements in Generative/Agentic AI, web development, and cloud technologies

Skills

Full-Stack Development
AI Model Integration
Cloud Deployment
JavaScript/TypeScript Proficiency
API Development
Agentic Frameworks
Cross-functional Collaboration

Education

Bachelor's degree in Computer Science or related field

Tools

Docker
Kubernetes
AWS
Azure
GCP
OpenAI
Hugging Face
RabbitMQ
Kafka
Redis
SQL
NoSQL
Firebase
MongoDB
PostgreSQL
React
Vue.js
Angular
Node.js
Python

Job description

  • Develop and implement end-to-end AI-driven applications, integrating generative AI models
  • Build and maintain scalable front-end interfaces using modern web frameworks (React, Angular, Vue.js)
  • Design and develop robust back-end services using Node.js, Python, or other back-end technologies
  • Integrate large language models (LLMs) and multimodal AI models into applications
  • Optimize application performance, ensuring efficiency in AI inference and API response times
  • Develop and maintain RESTful and GraphQL APIs for AI model interaction
  • Deploy AI applications on cloud platforms (AWS, GCP, Azure) using containerization and serverless technologies
  • Ensure security, scalability, and compliance of AI-driven applications
  • Stay up to date with the latest advancements in Generative/Agentic4 AI, web development, and cloud technologies
Requirements
  • Bachelor’s degree in computer science, Software Engineering, or a related field (or equivalent experience).
  • 6+ years of experience in full-stack development, with a track record of building scalable, production-ready systems.
  • Strong proficiency in JavaScript/TypeScript, Python, and modern front-end frameworks (React, Vue, or Angular).
  • Experience with agentic frameworks such as LangChain, AutoGen or CrewAI.
  • Hands-on experience with integrating AI models via APIs (OpenAI, Hugging Face, etc.).
  • Knowledge of vector databases, embeddings, and retrieval-augmented generation (RAG) techniques.
  • Experience with cloud platforms (e.g., AWS, Azure, GCP), containerization (Docker, Kubernetes), and CI/CD pipelines.
  • Strong understanding of database technologies (SQL, NoSQL, Firebase, MongoDB, PostgreSQL).
  • Ability to design scalable and maintainable architectures for AI-driven applications.
  • Capable of working closely with cross-functional teams to deliver cohesive, end-to-end functionality.
  • Knowledge of message queues (e.g., RabbitMQ, Kafka) and caching systems (e.g., Redis).
Core Competencies

Demonstrates expertise in developing and implementing AI-driven applications, with strong capabilities in full-stack development, cloud deployment, and API integration. Proficient in modern web frameworks and back-end technologies, ensuring scalable and efficient application performance.

Highest-signal resume keywords
  • Full-Stack Development
  • AI Model Integration
  • Cloud Deployment (AWS, GCP, Azure)
  • JavaScript/TypeScript Proficiency
  • RESTful and GraphQL API Development
ATS Optimization Keywords
Hard Skills
  • JavaScript
  • TypeScript
  • Python
  • React
  • Vue.js
  • Node.js
  • Docker
  • Kubernetes
  • SQL
  • NoSQL
Soft Skills
  • Collaboration
  • Problem-Solving
  • Communication
Industry Keywords
  • Generative AI
  • Large Language Models
  • Containerization
  • CI/CD Pipelines
  • Vector Databases
Tools & Technologies
  • AWS
  • GCP
  • Azure
  • Hugging Face
  • OpenAI
  • RabbitMQ
  • Kafka
  • Redis
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