We are seeking a highly skilled Full Stack AI Engineer to design, develop, and deploy next-generation AI-powered enterprise applications. The ideal candidate will have strong experience in full-stack software development combined with expertise in Generative AI, AI Agents, Retrieval-Augmented Generation (RAG), and Large Language Models (LLMs).
You will work closely with product managers, architects, and business stakeholders to build intelligent applications that automate workflows, enhance productivity, and deliver exceptional user experiences.
Key Responsibilities
Design, develop, and maintain scalable full-stack web applications.
Build AI-powered applications leveraging Large Language Models (LLMs) such as OpenAI GPT, Anthropic Claude, Google Gemini, and open-source models.
Develop intelligent AI Agents capable of planning, reasoning, and executing multi-step tasks.
Design and implement Retrieval-Augmented Generation (RAG) architectures using enterprise data sources.
Integrate AI capabilities into existing Java,.NET, or Node.js enterprise applications.
Develop RESTful APIs and microservices using Python (FastAPI/Flask) or Node.js.
Build responsive frontend applications using React.js, Next.js, or Angular.
Implement vector search solutions using Pinecone, Weaviate, ChromaDB, Milvus, or FAISS.
Optimize prompts, embeddings, context retrieval, and AI workflows for accuracy and performance.
Integrate enterprise systems including Microsoft Graph, Salesforce, ServiceNow, Jira, SharePoint, and other SaaS platforms.
Develop secure, scalable cloud-native applications on AWS, Azure, or Google Cloud Platform.
Containerize applications using Docker and deploy through Kubernetes and CI/CD pipelines.
Monitor AI application performance, latency, token usage, and model quality.
Follow AI governance, responsible AI, and security best practices.
Required Skills
Frontend
React.js / Next.js
TypeScript / JavaScript
HTML5, CSS3
Tailwind CSS / Material UI
Backend
Python (FastAPI, Flask, Django)
Java (Spring Boot) or
.NET Core (ASP.NET Core) or
Node.js (Express/NestJS)
REST APIs
GraphQL (preferred)
Generative AI
OpenAI API
Anthropic Claude API
Google Gemini
Azure OpenAI
Prompt Engineering
Function Calling
Structured Outputs
AI Agent Development
Multi-Agent Systems
Model Context Protocol (MCP)
AI Frameworks
LangChain
LangGraph
LlamaIndex
CrewAI or AutoGen (preferred)
Semantic Kernel (preferred)
RAG & Search
Retrieval-Augmented Generation (RAG)
Vector Databases
Pinecone
Weaviate
Milvus
Chroma
FAISS
Embeddings
Semantic Search
Databases
PostgreSQL
MySQL
SQL Server
MongoDB
Redis
Cloud & DevOps
AWS / Azure / GCP
Docker
Kubernetes
GitHub Actions
Azure DevOps
CI/CD Pipelines
Terraform (preferred)
Preferred Qualifications
Experience building enterprise AI Copilots and AI Assistants.
Experience developing Agentic AI solutions.
Hands-on experience with Microsoft Copilot Studio or Azure AI Foundry.
Experience integrating Databricks, Snowflake, or Microsoft Fabric with AI applications.
Familiarity with AI observability tools such as LangSmith, Arize AI, or PromptLayer.
Knowledge of AI security, responsible AI, and model governance.
Experience working in Agile/Scrum environments.