Full-Stack AI Engineer — GenAI, RAG & Agentic AI Expert

Fortunefootprints Consulting; United States; Remote; USD 140,000 - 210,000; Full time

Job summary

Fortunefootprints Consulting in the United States seeks a senior Generative AI engineer to design and deploy AI-powered solutions across enterprise platforms. You will build RAG/Agentic AI workflows, integrate with cloud services, and implement secure, scalable APIs using Python and FastAPI.

The role requires deep experience with LangChain, LangGraph, Azure OpenAI, and AI agent tooling, with a focus on reliability, performance, and business impact.

Qualifications

• Advanced GenAI and agentic framework concepts.
• Cloud application integration and deployment.
• AI agents and tool calling.
• Experience with LangChain and LangGraph.
• Azure AI Foundry expertise.
• Proficiency with GitHub for collaboration.

Responsibilities

• Develop and implement Generative AI solutions using enterprise platforms.
• Build RAG, Graph RAG, or Agentic AI solutions for knowledge retrieval and automation.
• Develop AI-powered applications aligned with business requirements.
• Create secure AI services with Python and FastAPI, including auth, async APIs, and scalable design.
• Configure AI agents, tool-calling mechanisms, and workflow automation.
• Orchestrate AI interactions with LangChain/LangGraph and manage prompts.
• Implement vector databases, semantic search, and retrieval strategies.
• Support fine-tuning and model customization for domain-specific use cases.
• Integrate AI apps with enterprise systems and APIs to enable scalable workflows.
• Test, validate, and monitor AI outputs; maintain documentation and artifacts.

Skills

Advanced GenAI & Agentic Frameworks

Cloud Application Integration

AI Agents & Tool Calling

Azure AI Foundry

Agentic AI Systems

LangChain

LangGraph

GitHub

Tools

GitHub

Job description

Fortunefootprints Consulting in the United States seeks a senior Generative AI engineer to design and deploy AI-powered solutions across enterprise platforms. You will build RAG/Agentic AI workflows, integrate with cloud services, and implement secure, scalable APIs using Python and FastAPI.

The role requires deep experience with LangChain, LangGraph, Azure OpenAI, and AI agent tooling, with a focus on reliability, performance, and business impact.