GenAI Engineer

RIVAGO INFOTECH INC.

Hanover, NJ, United States

3 months ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Working hours

Regular working hours

Job source

disabledperson.com

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Automated Storage and Retrieval Systems Microsoft Azure Cloud Computing Encodings Continuous Integration Data Cleansing Django Web Framework Python (Programming Language) Machine Learning

+21 more

NumPy Cloud Services Software Deployment Enterprise Software Applications Flask (Web Framework) Large Language Models Prompt Engineering Model Validation Generative AI Git Fastapi Pandas Build Management Scikit Learn Information Technology HuggingFace Machine Learning Operations Virtual Agents Restful APIs Docker Microservices

Job description

Build and deploy GenAI applications using LLMs (OpenAI, Azure OpenAI, Claude, Gemini, Llama, etc.).
Develop Agentic AI workflows using frameworks such as CrewAI, AutoGen, LangGraph, or LangChain Agents.
Design and implement RAG pipelines, vector search solutions, and embedding?based retrieval systems.
Build scalable AI services using Python, FastAPI/Flask, and cloud platforms (Azure/AWS/GCP).
Collaborate with cross?functional teams to define use cases and convert them into production?ready GenAI solutions.
Implement hallucination reduction, prompt?engineering strategies, and model evaluation methods.
Integrate LLMs with enterprise applications, APIs, and automation workflows.
Work with vector databases (FAISS, Pinecone, Chroma, Weaviate) for semantic search.
Monitor, evaluate, and optimize GenAI models for accuracy, performance, and cost.

Requirements

Experience Required: 5+ years in AI/ML

GenAI Experience: Minimum 2 years (hands?on)

Agentic AI Experience: Minimum 6 months (CrewAI / AutoGen / LangGraph / LangChain Agents), We are seeking a skilled GenAI & Agentic AI Engineer with strong experience in building end?to?end AI/ML solutions, Generative AI applications, and agent?based automation workflows. The ideal candidate will have a solid background in machine learning along with hands?on expertise in LLMs, RAG, embeddings, vector databases, and Agentic AI frameworks such as CrewAI, AutoGen, LangGraph, or LangChain Agents., * 5+ years of experience in AI/ML, including model development, data preprocessing, EDA, training, and evaluation.

2+ years of hands?on experience in Generative AI (LLMs, embeddings, RAG, LLM?based apps).
6+ months of hands?on experience with Agentic AI frameworks (CrewAI / AutoGen / LangGraph / LangChain Agents).
Strong proficiency in Python and ML libraries (Scikit?learn, Pandas, NumPy).
Experience with OpenAI APIs, Azure OpenAI, HuggingFace, and prompt engineering.
Familiarity with building scalable APIs using FastAPI, Flask, or Django.
Hands?on knowledge of cloud services (Azure/AWS/GCP) for AI deployment.
Strong understanding of REST APIs, microservices, and integration patterns.
Experience with Git, CI/CD, Docker, and model deployment best practices.