GenAI Engineer

Apptad Inc; Newark (DE); On-site; USD 140,000 - 190,000; Full time

Job summary

Apptad Inc. is seeking an experienced Generative AI Engineer to design, develop, deploy, and support AI solutions in production environments. You will work with LLMs, RAG, prompt engineering, AI agents, and vector databases to deliver enterprise-grade GenAI applications for business users.

You will build production-ready apps using models like GPT, Claude, Gemini, Llama, or similar, and implement LangChain-based workflows, model evaluation, and governance to ensure secure, scalable solutions.

Qualifications

• Experience with LLMs, RAG, prompt engineering and AI agents.
• Hands-on with vector databases and cloud-based AI platforms.
• Proven delivery of enterprise-grade GenAI applications in production.

Responsibilities

• Design, develop, and deploy Generative AI solutions for enterprise use cases.
• Build production-ready apps using LLMs such as GPT, Claude, Gemini, Llama, or similar.
• Develop RAG-based solutions with vector databases like FAISS, ChromaDB, or Azure AI Search.
• Implement prompt engineering, tuning, and evaluation frameworks.
• Integrate AI apps with enterprise systems, APIs, databases, and cloud platforms.
• Monitor production AI apps for performance, accuracy, latency, and cost.
• Design AI agents and workflows with LangChain, LangGraph, LlamaIndex, AutoGen, or Semantic Kernel.
• Ensure responsible AI, governance, security and compliance.
• Collaborate with stakeholders to deliver scalable AI solutions and resolve issues.

Skills

LLMs

Prompt engineering

AI agents

Vector databases

Production deployment

Cloud AI platforms

Tools

FAISS

ChromaDB

Azure AI Search

Pinecone

LangChain

LangGraph

LlamaIndex

AutoGen

Semantic Kernel

Job description

Primary: Artificial intelligence, LLM

Secondary: Retrieval-Augmented Generation (RAG), FAISS, ChromaDB, or Azure AI Search, LangChain, LangGraph, LlamaIndex, AutoGen, or Semantic Kernel

Experience: 7 to 10 yrs

Roles & Responsibilities

Job Description

We are seeking an experienced Generative AI Engineer with proven expertise in designing, developing, deploying, and supporting AI solutions in production environments. The ideal candidate should have hands-on experience with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), prompt engineering, AI agents, vector databases, and cloud based AI platforms. The candidate should have successfully delivered enterprise-grade GenAI applications used by business users in production.

Key Responsibilities

• Design, develop, and deploy Generative AI solutions for enterprise business use cases.
• Build and maintain production-ready applications utilizing LLMs such as GPT, Claude, Gemini, Llama, or similar models.
• Develop RAG-based solutions using vector databases such as Pinecone, FAISS, ChromaDB, or Azure AI Search.
• Implement prompt engineering, prompt tuning, and model evaluation frameworks.
• Integrate AI applications with enterprise systems, APIs, databases, and cloud platforms.
• Monitor production AI applications for performance, accuracy, latency, and cost optimization.
• Design AI agents and workflow automation using frameworks such as LangChain, LangGraph, LlamaIndex, AutoGen, or Semantic Kernel.
• Implement responsible AI controls, security, governance, and compliance requirements.
• Collaborate with business stakeholders, architects, data scientists, and engineering teams to deliver scalable AI solutions.
• Troubleshoot and resolve production issues related to AI systems.