Genai Engineer
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Overview
Job Description
Job Title: AI EngineerLocation: Jersey City, New Jersey (Onsite)Job Summary
We are seeking a highly skilled Senior AI Engineer / Generative AI Engineer to design, develop, and deploy enterprise-grade AI applications powered by Large Language Models (LLMs). The ideal candidate will have strong expertise in Python, Generative AI, Retrieval-Augmented Generation (RAG), AI Agents, prompt engineering, vector databases, and cloud-native application development.
The candidate will work closely with Product, Data Engineering, Cloud, and DevOps teams to build scalable AI solutions that solve real-world business problems while ensuring security, governance, and responsible AI practices. These are common requirements across current enterprise AI engineering roles in the Jersey City market.
Key Responsibilities
Design and develop enterprise Generative AI applications using Large Language Models (OpenAI GPT, Llama, Claude, Gemini, etc.).
Build Retrieval-Augmented Generation (RAG) pipelines using vector databases.
Develop AI agents and multi-agent workflows using LangGraph, CrewAI, AutoGen, or similar frameworks.
Implement prompt engineering techniques to improve model performance and accuracy.
Build scalable REST APIs using Python, FastAPI, or Flask.
Integrate AI solutions with enterprise applications and cloud services.
Fine-tune and evaluate foundation models where applicable.
Develop AI evaluation frameworks to measure hallucination, accuracy, latency, and cost.
Implement responsible AI, model governance, guardrails, and security controls.
Collaborate with Data Engineers to build scalable data pipelines.
Required Skills
Hands-on Generative AI or LLM application development.
Strong Python programming skills.
Experience with FastAPI or Flask.
Strong knowledge of:
Large Language Models (LLMs)
Prompt Engineering
Retrieval-Augmented Generation (RAG)
AI Agents / Agentic AI
Vector Databases (Pinecone, FAISS, ChromaDB, Weaviate, Milvus)
Experience with:
LangChain
LlamaIndex
LangGraph
Hugging Face
Experience developing REST APIs.
Knowledge of embeddings and semantic search.
Experience with SQL and NoSQL databases.
Strong understanding of software engineering best practices.
Experience with Git, CI/CD, Docker, and Kubernetes.
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