> Markdown version of [/jobs/ext/119529-genai-engineer](https://www.wearedevelopers.com/jobs/ext/119529-genai-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # GenAI Engineer - **Company:** RIVAGO INFOTECH INC. - **Location:** Hanover, NJ, United States - **Contract:** Permanent contract - **Skills:** 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, 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 - **Published:** May 14, 2026 - **Apply:** https://www.disabledperson.com/jobs/72481051-genai-engineer ## About the Role 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. ## 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. ## Related Videos - [Should we build Generative AI into our existing software?](https://www.wearedevelopers.com/videos/1129-should-we-build-generative-ai-into-our-existing-software) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Vectorize all the things! Using linear algebra and NumPy to make your Python code lightning fast.](https://www.wearedevelopers.com/videos/562-vectorize-all-the-things-using-linear-algebra-and-numpy-to-make-your-python-code-lightning-fast) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [The State of GenAI & Machine Learning in 2025](https://www.wearedevelopers.com/videos/1383-the-state-of-genai-machine-learning-in-2025) - [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker) ## Related Articles - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models)