> Markdown version of [/jobs/ext/3799444-ai-engineer](https://www.wearedevelopers.com/jobs/ext/3799444-ai-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Engineer - **Company:** Vsg Business Solutions - **Location:** Sunrise, FL, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** LangGraph Framework, Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Software Applications, Microsoft Azure, Cloud Computing, Computer Programming, Databases, JSON, Python (Programming Language), Machine Learning, NoSQL, OpenAI, Tensorflow, Microsoft Copilot, Search Technologies, Software Engineering, SQL Databases, Systems Integration, Enterprise Search, Pinecone, Enterprise Software Applications, Pytorch, LangChain, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Prompt Engineering, Spring-boot, Generative AI, Backend, Agentic-AI, Git, Microsoft Copilot Studio, AI Platforms, Kubernetes, Information Technology, FAISS, Virtual Agents, Azure AI, Restful APIs, Automation Anywhere, ChromaDB, Microservices - **Published:** October 17, 2026 - **Apply:** https://www.careerjet.com/jobad/us0a4835640649785b4d88a51e65ca8d5d ## About the Role Technical Skills * Strong programming expertise in Python. * Hands-on experience with LangChain and LangGraph. * Experience building AI agents, autonomous workflows, and multi-agent systems. * Strong understanding of LLMs, Prompt Engineering, RAG, Vector Databases, and Embeddings. * Experience with OpenAI, Azure OpenAI Services, or similar AI platforms. * Knowledge of REST APIs, JSON, and microservices architecture. * Experience with Microsoft Copilot Studio and Copilot integrations. * Familiarity with SQL and NoSQL databases. * Experience with Git, CI/CD pipelines, and cloud platforms. Generative AI Skills * LLM orchestration and agent development. * Prompt engineering and evaluation frameworks. * Retrieval-Augmented Generation (RAG). * Semantic search and vector databases (Pinecone, ChromaDB, FAISS, Azure AI Search). * AI model monitoring and optimization. Nice to Have * Java development experience. * Experience with Spring Boot and microservices. * Azure certifications related to AI or cloud technologies. * Knowledge of machine learning frameworks such as TensorFlow or PyTorch. * Experience with Graph-based AI workflows and agentic AI systems., * Bachelor's or Master's degree in Computer Science, Information Technology, Artificial Intelligence, or a related field. * 4+ years of software development experience. * 2+ years of experience in Generative AI and AI application development. Preferred Certifications * Microsoft Certified: Azure AI Engineer Associate * Microsoft Applied Skills for Azure OpenAI * Microsoft Copilot Studio Certification * Azure Fundamentals (AZ-900) Key Competencies * Problem-solving and analytical skills. * Excellent communication and stakeholder management skills. * Ability to work in an agile environment. * Strong collaboration and innovation mindset. Keywords: Python, Generative AI, AI Engineer, LangChain, LangGraph, Microsoft Copilot, Copilot Studio, Azure OpenAI, RAG, Vector Database, LLM, Prompt Engineering, Agentic AI, REST APIs, Java, Spring Boot. ## Description We are seeking a highly skilled AI Engineer with expertise in Python, Generative AI, LangChain, LangGraph, and Microsoft Copilot technologies. The ideal candidate will be responsible for designing, developing, and deploying AI-powered applications, intelligent agents, and enterprise copilots. The candidate should have hands-on experience building LLM-based solutions, integrating AI services with enterprise systems, and implementing scalable AI architectures. A background in Java development is preferred and will be an added advantage., * Design and develop Generative AI applications using Large Language Models (LLMs). * Build AI agents, workflows, and orchestration frameworks using LangChain and LangGraph. * Develop and optimize AI-powered copilots and conversational assistants. * Integrate AI solutions with enterprise applications, databases, and APIs. * Implement Retrieval Augmented Generation (RAG) architectures using vector databases. * Develop prompt engineering strategies and evaluation frameworks for AI applications. * Work with Azure OpenAI, Microsoft Copilot Studio, and related AI services. * Build scalable backend services using Python and REST APIs. * Fine-tune, monitor, and optimize AI models for performance and accuracy. * Collaborate with business stakeholders, product teams, and solution architects to define AI use cases. * Ensure AI governance, security, compliance, and responsible AI practices.