Full Stack AI Engineer

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

Job Description

Mandatory Skills: Advanced GenAI & Agentic Framework Concepts,Cloud Application Integration & Deployment,AI Agents & Tool Calling,Azure AI Foundry,Agentic AI Systems,LangChain,LangGraph

Additional Skills: GitHub

Key Responsibilities:

• Develop and implement Generative AI solutions using platforms such as Amazon Bedrock, Azure OpenAI Service, Azure AI Foundry, Grog, or AI Search Index services.
• Build Retrieval-Augmented Generation (RAG), Graph RAG, or Agentic AI solutions to support enterprise knowledge retrieval and intelligent automation use cases.
• Develop AI-powered applications leveraging Large Language Models (LLMs) aligned with business requirements.
• Develop secure AI services using Python and FastAPI, implement authentication, authorization, asynchronous APIs, request throttling, scheduling, multithreading, and scalable API design where applicable.
• Configure and implement AI agents, tool-calling mechanisms, and intelligent workflow automation solutions.
• Develop and maintain workflows using LangChain or LangGraph to orchestrate AI interactions and business processes.
• Implement prompt engineering, context management, and retrieval strategies to improve AI response quality and relevance.
• Support implementation of vector databases, semantic search, and prompt engineering techniques to improve retrieval quality and AI response accuracy where applicable.
• Support fine-tuning and model customization activities to enhance model performance for domain-specific use cases.
• Integrate AI applications with enterprise systems, databases, external APIs, cloud services, and Model Context Protocol (MCP)-based services where applicable to enable secure, scalable, and seamless business workflows.
• Perform testing, validation, and evaluation of AI-generated outputs to ensure quality, accuracy, and reliability.
• Monitor AI solution performance and support troubleshooting and optimization activities.
• Maintain technical documentation, prompt configurations, workflow definitions, and implementation artifacts.
• Collaborate with various teams and stakeholders to support successful AI solution delivery.
• Ensure AI solutions are reliable, scalable, maintainable, and aligned with business requirements.

Behavioral Competencies:

• Demonstrates ownership and accountability while delivering high-quality AI solutions.
• Collaborate effectively with various teams and business stakeholders to ensure smooth delivery.
• Maintains a quality-first mindset while developing reliable and effective AI-powered applications.
• Applies strong analytical and problem-solving skills to resolve AI, retrieval, and workflow-related challenges.
• Shows adaptability and willingness to learn evolving AI technologies, frameworks, and industry trends.
• Communicates clearly by sharing progress, risks, assumptions, and dependencies proactively.
• Maintains attention to detail during AI solution development, testing, validation, and deployment activities.
• Works effectively in dynamic environments with changing priorities and evolving business requirements.
• Takes initiative in improving AI solution quality, automation effectiveness, and operational efficiency.
• Demonstrates a customer-centric mindset by delivering reliable, high-quality solutions. Role & responsibilities

Preferred candidate profile

Perks and benefits