Applied AI Engineer

Job Title:

Applied AI Engineer Location:

Orlando, FL (Onsite)

Duration:

Long-Term Contract Job Summary We are seeking a highly skilled Applied AI Engineer with strong hands-on experience in building production-grade AI applications using Large Language Models (LLMs), Agentic AI frameworks, and modern Python backend technologies. The ideal candidate should have experience designing and deploying scalable AI solutions, integrating enterprise APIs, implementing Retrieval-Augmented Generation (RAG), and working with vector databases and cloud-native deployments. This role requires someone who can take AI solutions from proof-of-concept to production while collaborating with cross-functional engineering and product teams. Key Responsibilities Design, develop, and deploy enterprise AI applications using LLMs and Generative AI technologies. Build intelligent AI agents using frameworks such as: LangChain AutoGen Semantic Kernel Integrate AI model APIs including: OpenAI Hugging Face Develop scalable backend services using: FastAPI Flask Django REST Framework Build and optimize RAG pipelines with embeddings, semantic search, and vector databases. Work with vector stores such as: Pinecone Weaviate FAISS Chroma Develop microservices-based architecture and asynchronous APIs.

Containerize and deploy applications using:

Docker Deploy AI workloads on cloud platforms: Amazon Web Services Microsoft Azure Google Cloud Support CI/CD implementation and production monitoring. Required Skills Must Have Client is mainly looking for: Strong Python Engineer Need someone with 8+ years in Python backend development.

Must have:

Python REST APIs Microservices Async Programming API Integrations Real Generative AI Experience Not just course/certification hands-on project experience with: LLM APIs Prompt engineering Model orchestration Multi-agent systems AI workflow automation Keywords client wants: OpenAI, Hugging Face, GPT, LLM, GenAI, Agentic AI Agent Framework Experience (Very Important) Candidate should have production experience in at least one: LangChain OR AutoGen OR Semantic Kernel This is one of the biggest screening factors. RAG + Vector DB Experience (Critical) Client wants candidates who have built: Document ingestion pipelines Embedding workflows Semantic retrieval Knowledge assistants/chatbots

Tools:

Pinecone, Weaviate, FAISS, Chroma, Milvus Deployment / Production Experience Need engineering candidates, not researchers.

Must know:

Docker CI/CD Cloud deployment Production API deployment