Onsite GenAI Engineer — LLMs, RAG & LangGraph

Apex Systems, LLC; Jersey City, Northern (NJ, KY); Hybrid; USD 91,000 - 94,000; Full time

Job summary

Everforth Apex Systems seeks a Generative AI Engineer to design, build, and deploy GenAI solutions in Jersey City. You will craft conversational AI, implement RAG, and assemble multi-agent workflows within scalable, governed systems.

You will integrate with Oracle, Starburst, S3, and internal services, developing microservices, APIs, and containerized apps while advancing CI/CD, observability, and testing for responsible AI practices.

Qualifications

• 7+ years of software development experience.
• 3+ years of hands-on experience with Generative AI and Large Language Models.
• Experience with RAG architectures, prompt engineering, embeddings, vector search, and agentic AI frameworks like LangChain or LangGraph.

Responsibilities

• Design and develop GenAI applications and conversational AI solutions using LLMs.
• Implement Retrieval-Augmented Generation (RAG) solutions using enterprise knowledge repositories.
• Build and maintain knowledge bases for business-specific domains.
• Design and implement multi-agent workflows using LangGraph frameworks.
• Develop integrations with Oracle databases, Starburst, S3, and internal data services.
• Develop microservices and APIs, and containerized apps on OpenShift.
• Build automated CI/CD pipelines and improve platform reliability and monitoring.
• Develop testing frameworks for AI solutions and support responsible AI practices.

Skills

Python

SQL

REST API

Object-oriented design

Microservices

Git

CI/CD

OpenShift/Kubernetes

Redis

Oracle

S3 Storage

LLM integration

LangChain

LangGraph

Tools

OpenShift/Kubernetes

Redis

Oracle

S3 Storage

Job description

Everforth Apex Systems seeks a Generative AI Engineer to design, build, and deploy GenAI solutions in Jersey City. You will craft conversational AI, implement RAG, and assemble multi-agent workflows within scalable, governed systems.

You will integrate with Oracle, Starburst, S3, and internal services, developing microservices, APIs, and containerized apps while advancing CI/CD, observability, and testing for responsible AI practices.