GenAI & Agentic AI Engineer

Vytwo; Dallas (TX); Hybrid; USD 120,000 - 160,000; Full time

Job summary

Vytwo is looking for a skilled GenAI & Agentic AI Engineer to develop end-to-end AI solutions and deploy innovative GenAI applications. Candidates should have over 5 years of AI/ML experience, with solid expertise in generative AI and agentic frameworks.

The ideal applicant will be adept in Python, with hands-on experience in various AI tools and technologies, and must be legally authorized to work in the US. Flexible hybrid work options are available.

Qualifications

• 5+ years of experience in AI/ML.
• 2+ years of hands-on experience in Generative AI.
• Strong proficiency in Python and ML libraries.
• Experience with Git and model deployment best practices.

Responsibilities

• Build and deploy GenAI applications using LLMs.
• Develop Agentic AI workflows with various frameworks.
• Monitor and optimize GenAI models for performance.

Skills

AI/ML experience

Generative AI expertise

Python proficiency

Agentic AI frameworks

Experience with OpenAI APIs

FastAPI/Flask knowledge

Tools

Scikit-learn

Pandas

NumPy

Docker

CI/CD tools

FastAPI

Cloud services (Azure/AWS/GCP)

Job description

Role: GenAI & Agentic AI Engineer

Location: Whippany, NJ (Hybrid)

Hire Type: FTE

Must be legally authorized to work in US without need for employer sponsorship now or at any time in the future.

About Position

We are looking for 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.

What You'll Do

• 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.

Expertise You'll Bring

• 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.

Flexible work from home options available.