Full Stack Developer with Generative AI

Nexylum Global Llc

California City, CA, United States

5 days ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

10 years minimum

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

Java (Programming Language) Application Programming Interfaces (APIs) Agile Methodology Artificial Intelligence Amazon Web Services Application Performance Management Microsoft Azure Cloud Computing Code Review Continuous Integration DevOps Gradle

+43 more

Monitoring of Systems Python (Programming Language) PostgreSQL Apache Maven Microsoft SQL Server MongoDB Node.Js NoSQL OpenShift Oracle (Applications) Scrum Methodology RabbitMQ Redis Distributed Caching Standard Sql Software Deployment TypeScript Google Cloud Enterprise Software Applications .NET Core ReactJS Large Language Models Multi-Agent Systems Prompt Engineering Spring-boot Generative AI Infrastructure as Code (IaC) Backend Git Event Driven Architecture AngularJS Kubernetes Cassandra Apache Kafka Graphql Machine Learning Operations Front End Software Development Restful APIs 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.