Generative AI Engineer: Agentic Automation & Orchestration

The Phoenix Group

New York (NY)

On-site

USD 130,000 - 170,000

Full time

2 days ago
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Job summary

The Phoenix Group seeks an experienced AI Engineer to design and implement agentic AI applications that can reason, plan, and execute tasks across enterprise systems. You will build multi-agent architectures for complex workflows and develop tool-calling capabilities to integrate with APIs, databases, and internal services.

You will optimize RAG pipelines, embeddings, and contextual retrieval, and work with LangGraph, LangChain, Semantic Kernel, AutoGen, and other frameworks.

Qualifications

  • Strong Python development fundamentals.
  • Hands-on experience building Generative AI or LLM-powered applications.
  • Experience creating agentic workflows beyond chatbots.
  • Experience with LLM APIs, function/tool calling, structured outputs, and model orchestration.
  • Understanding of RAG, embeddings, vector databases, and context management.
  • Experience integrating AI apps with APIs, databases, SaaS, or enterprise systems.

Responsibilities

  • Design and build agentic AI applications that can reason, plan, execute tasks, and interact with external tools and systems.
  • Develop single-agent and multi-agent architectures for complex business workflows.
  • Build tool-calling capabilities to interact with APIs, databases, and internal services.
  • Develop and optimize RAG pipelines, vector search, embeddings, and contextual retrieval.
  • Integrate LLMs from platforms such as OpenAI, Anthropic, Google, and open-source providers.
  • Create orchestration workflows using LangGraph, LangChain, Semantic Kernel, AutoGen, or similar technologies.
  • Implement memory, state management, guardrails, and human-in-the-loop controls.
  • Develop evaluation frameworks to measure agent accuracy, reliability, and latency.
  • Deploy, monitor, and improve AI applications in production environments.
  • Collaborate with engineering, data, security, product, and business teams to identify automation opportunities.

Skills

Python
Generative AI
LLM-powered apps
Agent workflows
LLM APIs
RAG/embeddings
Vector databases
Model orchestration
Azure/AWS/GCP
Security & guardrails

Tools

LangGraph
LangChain
Semantic Kernel
AutoGen
CrewAI

Job description

The Phoenix Group seeks an experienced AI Engineer to design and implement agentic AI applications that can reason, plan, and execute tasks across enterprise systems. You will build multi-agent architectures for complex workflows and develop tool-calling capabilities to integrate with APIs, databases, and internal services.

You will optimize RAG pipelines, embeddings, and contextual retrieval, and work with LangGraph, LangChain, Semantic Kernel, AutoGen, and other frameworks.

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