Full Stack AI Engineer

Introduction: We are seeking a highly motivated Full Stack AI Engineer who can design, build, and scale production-grade AI applications from concept to deployment. You will work directly with product leadership and customers to create intelligent systems leveraging LLMs, AI agents, Retrieval-Augmented Generation (RAG), Model Context Protocol (MCP), and modern cloud-native architectures.

Responsibilities:

AI & Agentic Systems

• Design and develop AI-powered applications using OpenAI, Azure OpenAI, Anthropic, Gemini, and open-source models.
• Build multi-agent and agentic workflows using LangGraph, LangChain, Semantic Kernel, CrewAI, or equivalent frameworks.
• Develop Retrieval-Augmented Generation (RAG) solutions using embeddings, vector databases, document indexing, and knowledge retrieval systems.
• Integrate AI models with enterprise systems, APIs, SaaS platforms, and business workflows.
• Design prompt orchestration, evaluation frameworks, guardrails, observability, and AI governance controls.

Full Stack Development

• Build scalable frontend applications using React, Next.js, TypeScript, and modern UI frameworks.
• Develop backend services, APIs, microservices, and event-driven architectures using Python (FastAPI), Node.js, or .NET.
• Design and optimize SQL and NoSQL databases.
• Implement authentication, authorization, and secure enterprise-grade integrations.
• Create reusable APIs and SDKs for AI capabilities across multiple products.

Cloud & Platform Engineering

• Deploy AI applications on Azure, AWS, or Google Cloud Platform.
• Build containerized services using Docker and Kubernetes.
• Implement CI/CD pipelines, infrastructure-as-code, monitoring, and observability.
• Optimize AI infrastructure for scalability, performance, and cost efficiency.

Product & Innovation

• Partner with product managers and customers to translate business challenges into AI solutions.
• Rapidly prototype and productionize AI use cases.
• Evaluate emerging AI technologies and recommend adoption strategies.
• Contribute to AI platform roadmap and innovation initiatives.

Requirements:

Required Qualifications:

• Bachelor''s degree in Computer Science, Engineering, or related field.
• 5+ years of full-stack software development experience.
• Strong proficiency in:
  • Python
  • TypeScript / JavaScript
  • React / Next.js
  • Node.js or FastAPI
• Experience building REST APIs and microservices.
• Hands-on experience with:
  • OpenAI / Azure OpenAI APIs
  • RAG architectures
  • Vector databases (Pinecone, Weaviate, FAISS, Chroma, Azure AI Search)
  • LangChain, LangGraph, Semantic Kernel, or similar frameworks
• Experience with Docker, Kubernetes, and cloud-native architectures.
• Strong understanding of software engineering best practices, testing, CI/CD, and Agile development.