Senior AI Forward Deployed Engineer || NY|| Remote|| full time
Infoorigin inc -
New York, NY, United States
8 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
4 years minimum
Compensation
$31,200.0 - $33,800.0
Working hours
Regular working hours
Job source
Tech stack
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
+15 more
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
Job 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.
Requirements
- 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.
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