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Senior GenAI Engineer

Kanshe InfotechJersey City, NJ🇺🇸United StatesPosted 3 Aug 2026

Quick Overview

Work Type
On Site
Level
Mid Senior

Job Description

Job Title: Senior GenAI Engineer

Location: Jersey City, NJ (Day 1 Onsite – 5 Days/Week)
Job Type: Long-Term Contract

 

Note: Candidates must complete a coding assessment.


Top Skills:

Generative AI | Agentic AI | LLM | RAG | Python | NLP | LangChain | Multi-Agent Systems | AWS/Azure/Google Cloud Platform | PyTorch/TensorFlow


Job Description:

We are seeking a Senior GenAI Engineer to lead the design and development of next-generation Generative AI and Agentic AI solutions for enterprise applications. The ideal candidate will have deep expertise in LLM application development, RAG architectures, AI agents, prompt engineering, and cloud-native AI platforms. This is a hands-on technical role focused on building scalable, production-ready AI solutions.


Required Skills:

  • 15+ years of software engineering experience with strong expertise in Generative AI
  • Hands-on experience with LLMs, Agentic AI, Multi-Agent Systems, and AI Orchestration
  • Strong experience building Enterprise RAG (Retrieval-Augmented Generation) and Multi-Modal AI solutions
  • Expertise in Python and AI frameworks such as LangChain, LangGraph, LlamaIndex, TensorFlow, PyTorch, or Scikit-learn
  • Strong knowledge of NLP, Prompt Engineering, Embeddings, Vector Databases, and AI Model Evaluation
  • Experience deploying AI solutions on AWS, Azure, or Google Cloud
  • Strong understanding of APIs, microservices, distributed systems, and software architecture
  • Excellent problem-solving, communication, and technical leadership skills

Preferred Skills:

  • Experience with OpenAI, Azure OpenAI, Anthropic Claude, Google Gemini, or AWS Bedrock
  • Knowledge of MCP (Model Context Protocol), AI Agents, AI Governance, and AI Security
  • Experience with Docker, Kubernetes, CI/CD, and MLOps
  • Exposure to DevOps, Data Engineering, and enterprise-scale AI deployments
  • Experience mentoring engineering teams and leading AI transformation initiatives

Skills

Docker
Microservices
AWS
MLOps
NLP
Scikit-learn
Azure
Generative AI
Google Cloud
Kubernetes
LLM
PyTorch
Python
TensorFlow

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