Haystack
← Back to Jobs
Technology

Senior Full Stack Developer (AI-Enabled)

V-Work Infotech Solutions INCDayton, OH🇺🇸United StatesPosted 20 Jul 2026

Quick Overview

Work Type
Hybrid
Level
Mid Senior

Job Description

Job Summary

We are seeking a highly experienced Senior Full Stack Developer with 12+ years of enterprise software development experience and hands-on expertise in modern full-stack technologies, cloud-native architectures, microservices, and Artificial Intelligence/Generative AI solutions. The ideal candidate will design, develop, integrate, and deploy scalable enterprise applications while leveraging LLMs, AI frameworks, and cloud AI services.

Required Technical Skills

Frontend

  • React.js (Required)
  • Next.js
  • Angular (8+)
  • TypeScript
  • JavaScript (ES6+)
  • HTML5, CSS3, SCSS
  • Redux, Context API
  • Material UI, Bootstrap, Tailwind CSS
  • Responsive Web Design
  • Micro Frontends
  • Webpack, Vite

Backend

  • Java 17/21
  • Spring Boot
  • Spring MVC
  • Spring Security
  • Spring Data JPA
  • Hibernate
  • Node.js
  • Express.js
  • Python
  • FastAPI
  • RESTful APIs
  • GraphQL
  • gRPC

AI / Generative AI (Must Have)

  • OpenAI GPT
  • Azure OpenAI
  • Anthropic Claude
  • Google Gemini
  • Llama Models
  • Hugging Face
  • LangChain
  • LangGraph
  • LlamaIndex
  • Semantic Kernel
  • AI Agents
  • Agentic AI
  • Prompt Engineering
  • Retrieval-Augmented Generation (RAG)
  • Vector Databases (Pinecone, ChromaDB, Weaviate, Milvus)
  • MCP (Model Context Protocol)
  • AI Workflow Automation
  • Function Calling
  • AI Chatbots
  • Document Intelligence
  • AI Search Solutions

Databases

  • SQL Server
  • PostgreSQL
  • Oracle
  • MySQL
  • MongoDB
  • DynamoDB
  • Redis
  • Elasticsearch
  • Snowflake

Cloud Platforms

  • AWS
  • Azure
  • Google Cloud Platform (Google Cloud Platform)

Cloud Services

  • EC2
  • Lambda
  • ECS/EKS
  • Azure App Services
  • Azure Functions
  • Azure Kubernetes Service (AKS)
  • S3
  • API Gateway
  • CloudWatch
  • Azure Monitor

DevOps

  • Docker
  • Kubernetes
  • Jenkins
  • GitHub Actions
  • Azure DevOps
  • GitLab CI/CD
  • Terraform
  • Helm
  • ArgoCD

Messaging

  • Kafka
  • RabbitMQ
  • ActiveMQ
  • AWS SQS
  • Azure Service Bus

API & Integration

  • REST APIs
  • GraphQL
  • SOAP
  • OAuth2
  • OpenID Connect
  • JWT
  • API Gateway
  • Swagger/OpenAPI
  • Postman

Testing

  • JUnit
  • Mockito
  • Jest
  • Cypress
  • Selenium
  • Playwright
  • SonarQube

Security

  • OAuth2
  • JWT
  • SAML
  • MFA
  • OWASP
  • Secure Coding
  • API Security
  • IAM

Architecture

  • Microservices
  • Event-Driven Architecture
  • Domain Driven Design (DDD)
  • Serverless
  • Design Patterns
  • Distributed Systems
  • Enterprise Integration Patterns

Tools

  • Git
  • GitHub
  • Bitbucket
  • JIRA
  • Confluence
  • IntelliJ IDEA
  • VS Code
  • Maven
  • Gradle
  • SonarQube

Responsibilities

  • Design and develop scalable enterprise full-stack applications.
  • Build responsive web applications using React.js/Next.js or Angular.
  • Develop robust backend services using Java Spring Boot, Node.js, or Python.
  • Design and implement RESTful APIs, GraphQL services, and microservices.
  • Integrate AI/GenAI capabilities using OpenAI, Azure OpenAI, Claude, Gemini, and LangChain.
  • Develop AI-powered applications including RAG pipelines, AI Agents, document processing, and intelligent chatbots.
  • Build vector search solutions using Pinecone, ChromaDB, Weaviate, or Milvus.
  • Deploy cloud-native applications on AWS, Azure, or Google Cloud Platform using Docker and Kubernetes.
  • Implement CI/CD pipelines and Infrastructure as Code (Terraform).
  • Optimize application performance, scalability, and security.
  • Collaborate with architects, product owners, QA, DevOps, and business stakeholders.
  • Mentor junior developers and conduct code reviews.
  • Participate in Agile/Scrum ceremonies and deliver high-quality software.

Preferred Qualifications

  • Experience with enterprise AI platforms and Agentic AI.
  • Experience integrating LLMs into production applications.
  • Knowledge of Machine Learning and MLOps.
  • Experience with Databricks, Snowflake, or Microsoft Fabric.
  • Exposure to event streaming using Kafka.
  • Experience in Banking, Healthcare, Insurance, Retail, or Financial Services domains.

Skills

Docker
DynamoDB
Express
FastAPI
Material UI
Microservices
MongoDB
MySQL
Next.js
Node.js
Oracle
SOAP
SQL
SQL Server
Spring
Spring Boot
API Gateway
AWS
MFA
MLOps
Machine Learning
OWASP
SAML
Scrum
Selenium
Snowflake
SonarQube
Agile
Angular
ArgoCD
Azure
Bootstrap
CSS
Confluence
Cypress
Databricks
GPT
Generative AI
Git
GitHub Actions
GitLab CI
Google Cloud
GraphQL
Helm
Hibernate
Hugging Face
JUnit
JWT
Java
JavaScript
Jenkins
Jest
Jira
Kafka
Kubernetes
Playwright
PostgreSQL
Postman
Python
REST
RabbitMQ
React
Redis
Redux
Tailwind CSS
Terraform
TypeScript
Vite
Webpack
gRPC

Similar jobs