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# Senior AI Forward Deployed Engineer || NY|| Remote|| full time

- **Company:** Infoorigin inc -
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Salary:** $31,200.0 - $33,800.0
- **Contract:** Permanent contract
- **Skills:** LangGraph Framework, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Databases, Continuous Integration, Python (Programming Language), OpenAI, Azure Machine Learning, Search Technologies, Software Engineering, Systems Integration, Enterprise Software Applications, LangChain, Retrieval-Augmented Generation, Large Language Models, Generative AI, Backend, Agentic-AI, Build Management, Kubernetes, Claude, Semantic Kernel, GPT, Docker
- **Published:** October 3, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=75690f5721e42d2f

## About the Role

+ 8+ years of software engineering or solution development experience.
 + 4+ years of AI/ML and Generative AI experience.
 + Strong Python development skills.
 + Hands-on experience with GPT, Azure OpenAI, Claude, RAG, LangChain, LangGraph, or Semantic Kernel.
 + Experience deploying AI solutions into production environments.
 + Strong understanding of APIs, cloud platforms, and enterprise integrations.
 * Experience with Azure AI services, AWS, Docker, Kubernetes, CI/CD, vector databases, and AI governance is preferred.

## Description

* We are seeking a highly skilled Senior AI Engineer to design, build, and deploy enterprise-level AI solutions using Generative AI, Large Language Models (LLMs), and AI automation technologies.
The ideal candidate will have strong hands-on experience with Python, OpenAI GPT, Azure OpenAI, RAG applications, AI Agents, LangChain/LangGraph, and cloud-based AI solutions. This role involves working with business teams to identify AI opportunities and delivering production-ready solutions from architecture through deployment., + Build and deploy LLM-powered applications, AI agents, and automation workflows.

 + Develop RAG solutions using embeddings, vector search, and document processing.
 + Design AI integrations with APIs, databases, and enterprise applications.
 + Create scalable backend services using Python.
 + Implement AI security, monitoring, evaluation, and optimization practices.
 + Collaborate with business and engineering teams to deliver impactful AI solutions.