GenAI Engineer

RIVAGO INFOTECH INC.
East Hanover, United States of America
3 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English

Job location

East Hanover, United States of America

Tech stack

API
Artificial Intelligence
Amazon Web Services (AWS)
Automated Storage and Retrieval Systems
Azure
Cloud Computing
Encodings
Continuous Integration
Data Cleansing
Django
Python
Machine Learning
NumPy
Cloud Services
Software Deployment
Enterprise Software Applications
Flask
Large Language Models
Prompt Engineering
Model Validation
Generative AI
GIT
FastAPI
Pandas
Build Management
Scikit Learn
Information Technology
HuggingFace
Machine Learning Operations
Virtual Agents
REST
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.

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