Role Overview – Vorizoit is hiring a GenAI Engineer for a fully remote role. This position is ideal for experienced AI engineers with 4+ years of hands-on expertise in building, deploying, and scaling enterprise-grade Generative AI solutions. The ideal candidate brings deep knowledge of LLM internals, Retrieval Augmented Generation (RAG), and cloud-native microservices, with the ability to translate cutting-edge AI capabilities into secure, scalable, and production-ready enterprise applications.

GenAI Solution Design and Development – You will design and develop enterprise-grade GenAI solutions by leveraging AWS services including Lambda, Managed Airflow (MWAA), Bedrock, S3, and DynamoDB, ensuring solutions are architected for performance, scalability, and reliability across complex enterprise environments.

RAG Architecture and Optimization – You will build and optimize Retrieval Augmented Generation (RAG) based architectures by integrating vector databases, implementing advanced text processing techniques, and designing knowledge retrieval pipelines that enhance the accuracy and contextual relevance of AI-generated outputs.

LLM and Enterprise Chat Platform Integration – You will work with leading large language models and enterprise chat platforms including ChatGPT, OpenAI APIs, Anthropic (Claude), and Ollama by integrating these systems into enterprise workflows, customizing model behavior, and ensuring seamless interaction between AI platforms and business applications.

MCP Server and GenAI Backend Development – You will develop and maintain enterprise-level MCP servers and GenAI backend services by building robust middleware platforms, managing API layers, and ensuring backend infrastructure supports high-availability, secure, and scalable AI service delivery.

Containerized Microservices Architecture – You will design and deploy containerized microservices using Docker and Kubernetes by architecting modular, independently deployable services that enable flexible scaling, efficient resource utilization, and streamlined deployment of GenAI components in enterprise environments.

Vector Database Integration – You will integrate vector databases such as Weaviate for semantic search and knowledge retrieval by configuring embedding pipelines, managing vector stores, and optimizing query performance to support intelligent information retrieval across enterprise AI applications.

Enterprise Security, Scalability, and Observability – You will ensure scalability, security, observability, and compliance of GenAI solutions by implementing best practices for enterprise AI governance, monitoring model performance, managing access controls, and maintaining adherence to organizational and regulatory compliance standards.

Stakeholder Collaboration and Architectural Guidance – You will collaborate with architects, product teams, and business stakeholders by translating complex AI capabilities into understandable business value, contributing to architectural decisions, and ensuring GenAI platforms are aligned with organizational goals and use cases.

AWS Expertise (Mandatory) – Strong hands-on knowledge of AWS services including Lambda, Bedrock, MWAA, S3, and DynamoDB is mandatory. Your experience should demonstrate the ability to architect and deploy production-grade AI workloads on AWS cloud infrastructure.

LLM and RAG Knowledge (Mandatory) – In-depth knowledge of LLM internals, RAG architectures, vector databases, NLP, and text processing pipelines is mandatory. You must be confident designing end-to-end AI knowledge systems that deliver accurate, context-aware outputs at enterprise scale.

TypeScript and JavaScript Proficiency (Mandatory) – Strong programming experience in TypeScript and JavaScript is mandatory. Your coding expertise should support the development of scalable AI backends, middleware services, and enterprise integrations built on modern JavaScript ecosystems.

Docker, Kubernetes, and Microservices (Mandatory) – Proficiency in Docker, Kubernetes, and microservices architecture is mandatory. You should be comfortable managing containerized deployments, orchestrating services, and maintaining resilient distributed systems in cloud-native environments.

How to Apply:

Send your updated CV to sathvik@vorizoit.com. Please highlight your 4+ years of GenAI engineering experience, your hands-on expertise with AWS, RAG architectures, LLMs, TypeScript/JavaScript, and Docker/Kubernetes. Detail any enterprise-scale GenAI projects you have delivered, MCP servers you have built, or vector database integrations you have implemented. Forward to anyone in your network who may be a strong fit.

About the Company:

Vorizoit is a technology-driven organization focused on delivering innovative AI and software solutions for enterprise clients. They are seeking a skilled GenAI Engineer who combines deep technical expertise in Generative AI with strong engineering fundamentals to help build and scale the next generation of intelligent enterprise platforms.