AI Full Stack Engineer
Chicago, IL, US • Posted 5 hours ago • Updated 5 hours ago
Spadtek Solutions LLC
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Job Details
Skills
- Python
- Node.js
- TypeScript
- React.js
- CI/CD Pipelines
- Generative AI Application Development
- LLM Integration (GPT-4 / GPT-4o)
- Azure OpenAI
- Google Vertex AI (Gemini
- Embeddings)
- OpenAI APIs
- Retrieval-Augmented Generation (RAG)
- AI Agent Development
- Semantic Kernel
- Azure AI Agents Framework
- Model Context Protocol (MCP)
- FastAPI
- Azure Cloud (Web Apps
- Container Apps
- AKS
- ACR)
- AI Coding Assistants (GitHub Copilot
- Cursor)
- Docker & Kubernetes
- Git & Branching Strategy
- Monitoring & Observability
- Prompt Engineering & Function Calling
- REST API Design & Microservices Architecture
- Vector Databases & Hybrid Search (Azure AI Search)
Summary
Job Role : AI Full Stack Engineer
Location: Preferable Chicago (Remote also works)
Job Type : Contract
We are seeking a highly autonomous full‑stack engineer focused on building and deploying Generative AI applications and AI agents. This individual will work across frontend and backend, design and integrate LLM‑powered features, and leverage Azure cloud services—including vector search—along with modern multi‑cloud AI platforms such as Vertex AI and OpenAI.
Technical Skills & Responsibilities
Full-Stack & Cloud Engineering:
Strong experience with modern frontend + backend stacks (e.g., React, Node.js, Python, TypeScript, FastAPI, etc.)
Understands API design, modular architecture, and secure data flows
LLM & GenAI Integration
Hands-on experience calling LLMs via API, including prompt orchestration and function calling
Skilled at indexing and retrieving data from vector databases (e.g., Azure AI Search hybrid + vector search)
- Experience integrating and fine‑tuning models across:
- Azure OpenAI (GPT‑4/4o)
- Google Vertex AI (Gemini models, embeddings, vector search)
- OpenAI platform APIs
- Ability to design intelligent workflows powered by LLMs, embeddings, and retrieval pipelines
AI Agent Frameworks
Experience building AI agents, including:
Attaching skills/plugins exposed as APIs
Using function calling / OpenAI tools paradigm
Familiarity with Semantic Kernel and Azure AI Agents Framework
Knowledge of MCP (Model Context Protocol) to expose internal systems and APIs as agent capabilities
DevOps / CI-CD / Azure Proficient with Git and repository branching strategies
Builds CI/CD pipelines and deploys workloads to Azure:
Azure Web Apps / Azure Container Apps / AKS / ACR
Monitoring, observability, and strong operational mindset
AI-Augmented Development
Proficient with AI coding assistants (Cursor, GitHub Copilot, etc.) to maximize autonomy and delivery velocity
Behavioural
& Delivery Expectations
Operates independently, takes ownership from concept to deployment
Problem-solver with strong communication skills
Thrives in fast-paced environments and continuously learns
Thinks proactively about reliability, performance, and security
- Dice Id: 91170485
- Position Id: 87-44406-
- Posted 5 hours ago
Company Info
At Spadtek, we believe sustainable growth happens when talent works in harmony with technology. Success isn’t driven by tools alone—it’s built through collaboration and intelligent execution. We partner with organizations to design, build, and scale modern digital solutions. From strategy and consulting to engineering and transformation, our approach is hands-on and adaptive. We turn complexity into opportunity, helping businesses stay resilient in a fast-evolving digital world.

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