Job Title: AI Engineer – Generative AI & Agentic AI

Location: New York City, NY

Employment Type: Full-Time

Experience Required: 6+ Years

Job Summary

We are seeking an experienced AI Engineer with expertise in Generative AI, Agentic AI, Python, and TypeScript to design, develop, and deploy scalable AI-powered solutions that address complex business challenges. The ideal candidate will collaborate with data scientists, cloud engineers, and business stakeholders to build production-grade AI systems leveraging large language models (LLMs), retrieval-augmented generation (RAG), and autonomous agent frameworks.

Key Responsibilities

Design, develop, and deploy enterprise-scale Agentic AI solutions.
Build and maintain AI agent frameworks and orchestration layers using modern LLM technologies.
Develop and optimize RAG (Retrieval-Augmented Generation) pipelines and knowledge retrieval systems.
Implement planning, tool usage, memory management, and reasoning capabilities for AI agents.
Design scalable backend systems, APIs, data pipelines, and cloud-native AI infrastructure.
Lead technical design reviews and provide architectural guidance for AI initiatives.
Evaluate and integrate emerging AI models, frameworks, and technologies into enterprise solutions.
Ensure AI systems meet standards for reliability, scalability, security, observability, and cost optimization.
Collaborate with cross-functional teams to deliver AI solutions from concept through production deployment.
Drive innovation and influence technical direction across multiple AI initiatives.

Required Skills & Qualifications

6+ years of experience building large-scale distributed systems.
Strong experience with Generative AI, Agentic AI, and Large Language Model (LLM) systems.
Proficiency in Python and TypeScript.
Hands-on experience with PyTorch, TensorFlow, and Hugging Face.
Experience with AI orchestration frameworks such as LangChain, LlamaIndex, CrewAI, or similar.
Familiarity with Vector Databases and semantic search technologies.
Experience with cloud platforms including AWS, Azure AI, or Google Cloud Vertex AI.
Strong understanding of asynchronous processing, messaging queues, and streaming architectures.
Experience designing backend APIs, data pipelines, and cloud-native applications.
Knowledge of AI-assisted development workflows and autonomous agent architectures.
Excellent analytical, problem-solving, and communication skills.

Preferred Qualifications

Experience building production-grade Agentic AI platforms.
Expertise in RAG architecture, LLM infrastructure, inference optimization, and model gateways.
Experience implementing evaluation frameworks, observability, and AI safety mechanisms.
Strong understanding of planning, memory management, and tool integration for autonomous AI agents.
Ability to influence technical direction and collaborate across multiple engineering teams.
Experience working in Agile and cross-functional enterprise environments.

What You'll Work On

Enterprise Agentic AI Platforms
Generative AI Applications
LLM Orchestration Frameworks
RAG Pipelines
AI Infrastructure & Model Gateways
Cloud-Native AI Solutions
Autonomous AI Systems