Full Stack Developer with Generative AI
Nexylum Global Llc
California City, United States of America
4 days ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
SeniorJob location
California City, United States of America
Tech stack
Java
API
Agile Methodologies
Artificial Intelligence
Amazon Web Services (AWS)
Application Performance Management
Azure
Cloud Computing
Code Review
Continuous Integration
DevOps
Gradle
Monitoring of Systems
Python
PostgreSQL
Maven
Microsoft SQL Server
MongoDB
Node.js
NoSQL
Openshift
Oracle Applications
Scrum
RabbitMQ
Redis
Distributed Caching
Standard Sql
Software Deployment
TypeScript
Google Cloud Platform
Enterprise Software Applications
.NET Core
React
Large Language Models
Multi-Agent Systems
Prompt Engineering
Spring-boot
Generative AI
Infrastructure as Code (IaC)
Backend
GIT
Event Driven Architecture
Angular
Kubernetes
Cassandra
Kafka
GraphQL
Machine Learning Operations
Front End Software Development
REST
Terraform
GPT
Docker
Jenkins
Microservices
Job description
- Design, develop, and maintain enterprise-grade full-stack applications.
- Build AI-powered solutions leveraging Large Language Models (LLMs).
- Develop scalable backend services and responsive frontend applications.
- Integrate GenAI capabilities into existing enterprise platforms.
- Build secure APIs and microservices for AI applications.
- Implement RAG pipelines and integrate vector databases.
- Collaborate with data scientists, AI engineers, architects, and business stakeholders.
- Optimize application performance, scalability, and security.
- Participate in code reviews, testing, and production deployments.
- Follow Agile development practices and contribute to continuous improvement initiatives.
Requirements
Our company is seeking an experienced Full Stack Developer with Generative AI expertise to design, develop, and deploy AI-powered enterprise applications. The ideal candidate will have strong experience in modern full-stack development, cloud technologies, microservices, and Generative AI frameworks. Experience in the financial services domain is highly preferred., * 10+ years of experience in Full Stack Development.
- Strong proficiency in Java or Python.
- Experience with Spring Boot, Node.js, or .NET Core.
- Strong frontend experience using React.js, Angular, or TypeScript.
- Hands-on experience with RESTful APIs and Microservices Architecture.
- Strong knowledge of SQL (Oracle, PostgreSQL, SQL Server) and NoSQL databases (MongoDB, Cassandra).
- Experience with Docker, Kubernetes, and CI/CD pipelines.
- Experience working on AWS, Azure, or Google Cloud Platform (Google Cloud Platform).
- Proficiency in Git, Jenkins, Maven/Gradle, and Agile/Scrum methodologies., * Hands-on experience with LLMs such as GPT-4, Claude, Gemini, or Llama.
- Experience using LangChain, LangGraph, LlamaIndex, or Semantic Kernel.
- Experience implementing Retrieval-Augmented Generation (RAG) applications.
- Knowledge of Vector Databases such as Pinecone, FAISS, ChromaDB, Weaviate, or Milvus.
- Experience with AI model integration using OpenAI, Azure OpenAI, or other LLM APIs.
- Understanding of prompt engineering, AI orchestration, and AI security best practices.
- Experience with AI observability and model monitoring tools is a plus., * Experience in Banking or Financial Services (Morgan Stanley, JPMorgan, Goldman Sachs, etc.).
- Experience with AI governance, Responsible AI, and enterprise security.
- Knowledge of event-driven architectures using Kafka or RabbitMQ.
- Experience with Terraform, Infrastructure as Code (IaC), and DevOps practices.
- Exposure to MLOps tools such as MLflow, Kubeflow, or Vertex AI is a plus.
- Excellent analytical, communication, and problem-solving skills.
Nice to Have
- Experience with GraphQL.
- Experience with OpenShift.
- Knowledge of Redis and distributed caching.
- Experience with AI Agents and Multi-Agent frameworks.
- Relevant cloud or AI certifications.