Senior Full Stack AI Engineer

Job Overview

We are looking for an experienced Senior Full Stack AI Engineer to design, build, and deploy AI-powered applications from concept to production. This role combines modern full-stack software engineering with practical AI implementation, including Large Language Models (LLMs), AI agents, Retrieval-Augmented Generation (RAG), workflow automation, and cloud-native architecture.

You will work across the entire technology stack—from intuitive frontend interfaces to scalable backend APIs and AI infrastructure—while helping shape the future of intelligent software products.

This is an ideal opportunity for someone who enjoys solving complex technical challenges, rapidly shipping products, and staying at the forefront of AI innovation.

Key Responsibilities
}~} Design, develop, and maintain scalable full-stack web applications.
}~} Build and integrate AI-powered features using modern LLMs and AI APIs.
}~} Develop AI agents capable of executing multi-step workflows and business processes.
}~} Implement Retrieval-Augmented Generation (RAG) systems using vector databases.
}~} Build secure REST APIs and backend services.
}~} Architect cloud-native applications with scalability, reliability, and security in mind.
}~} Develop responsive frontend interfaces using modern JavaScript frameworks.
}~} Optimize application performance and AI inference costs.
}~} Integrate third-party APIs, SaaS platforms, and automation tools.
}~} Collaborate with product managers, designers, and engineering teams to deliver high-quality software.
}~} Write clean, maintainable, and well-tested code.
}~} Participate in technical architecture decisions and mentor junior developers.
}~} Stay current with emerging AI technologies and recommend improvements.

Required Qualifications
}~} 5+ years of professional full-stack software engineering experience.
}~} 2+ years building production AI applications.
}~} Strong experience with JavaScript/TypeScript.
}~} Strong backend experience with Python and/or  Node.js .
}~} Experience with React,  Next.js , Vue, or similar frontend frameworks.
}~} Experience designing RESTful APIs.
}~} Hands-on experience integrating Large Language Models (OpenAI, Anthropic, Gemini, etc.).
}~} Experience building AI agents and automation workflows.
}~} Knowledge of Retrieval-Augmented Generation (RAG).
}~} Experience with vector databases such as Pinecone, Weaviate, Qdrant, Chroma, or pgvector.
}~} Experience with relational and NoSQL databases.
}~} Familiarity with Docker and containerized deployments.
}~} Experience with cloud platforms (AWS, Azure, or Google Cloud).
}~} Strong understanding of software architecture and design patterns.
}~} Excellent debugging and problem-solving skills.
}~} Strong written and verbal English communication skills.

Preferred Qualifications
}~} Experience with LangChain, LangGraph, LlamaIndex, or similar AI orchestration frameworks.
}~} Experience with Model Context Protocol (MCP).
}~} Experience deploying open-source LLMs.
}~} Knowledge of fine-tuning and prompt engineering best practices.
}~} Experience with CI/CD pipelines.
}~} Experience using Kubernetes.
}~} Familiarity with event-driven architectures.
}~} Experience integrating payment systems, authentication, and SaaS platforms.
}~} Previous startup or fast-paced product development experience.
}~} Experience leading engineering teams or mentoring developers.

Technical Stack
Frontend
}~} React
}~}  Next.js
}~} TypeScript
}~} Tailwind CSS

Backend
}~} Python
}~}  Node.js
}~} FastAPI
}~}  Express.js

AI & Machine Learning
}~} OpenAI API
}~} Anthropic Claude
}~} Google Gemini
}~} LangChain
}~} LangGraph
}~} LlamaIndex
}~} RAG
}~} AI Agents
}~} Prompt Engineering

Databases
}~} PostgreSQL
}~} MySQL
}~} MongoDB
}~} Redis
}~} Pinecone
}~} Qdrant
}~} Weaviate
}~} pgvector

Cloud & DevOps
}~} AWS
}~} Azure
}~} Google Cloud Platform
}~} Docker
}~} Kubernetes
}~} GitHub Actions
}~} CI/CD

What Success Looks Like
}~} Deliver scalable AI-powered applications to production.
}~} Build reliable and maintainable full-stack systems.
}~} Improve automation through AI agents and intelligent workflows.
}~} Create high-quality user experiences backed by robust engineering.
}~} Contribute technical leadership and best engineering practices.
}~} Continuously improve system performance, security, and scalability.

Ideal Candidate

You are someone who:
}~} Loves building products end-to-end.
}~} Keeps up with the latest AI advancements.
}~} Thinks like both a software engineer and a product builder.
}~} Writes clean, maintainable code.
}~} Enjoys solving complex technical problems.
}~} Can work independently while collaborating effectively with cross-functional teams.
}~} Thrives in a fast-moving, startup environment.

Employment Details
}~} Position: Senior Full Stack AI Engineer
}~} Work Setup: Remote
}~} Employment Type: Full-Time
}~} Experience Level: Senior
}~} Time Zone: Overlap with client working hours as required
}~} Compensation: Competitive and based on experience

Why Join?
}~} Work on cutting-edge AI products and technologies.
}~} Build production-ready AI applications used by real customers.
}~} Collaborate with a highly skilled, international team.
}~} Opportunity to influence architecture and technical direction.
}~} Continuous learning and exposure to the latest advancements in AI and software engineering.