Generative AI Developer

Requirements

• Bachelors degree in Computer Science, Information Systems, or a related field, or equivalent practical experience.
• At least 3 years of professional experience in software development, AI/ML engineering, or data science, with a minimum of 1 year focused on Generative AI or LLM-based applications.
• Practical experience deploying and managing AI/ML solutions within the Microsoft Azure platform, including Azure OpenAI Service and Azure AI Search / Cognitive Search.
• Demonstrable experience building workflow automations or orchestration using tools like n8n, Logic Apps, or similar.
• Proficient in programming with Python, and potentially JavaScript or Node.js for orchestration/integration tasks, with experience in APIs, data pipelines, and external service integration.
• Familiarity with containerization (Docker) and orchestration technologies (Kubernetes/AKS) in enterprise production settings.
• Experience with CI/CD, Git Ops, or MLOps practices for model deployment and lifecycle management.
• Strong understanding of NLP, large language models, retrieval-augmented generation, and prompt engineering techniques.
• Excellent communication skills, able to articulate complex technical concepts in a business-friendly manner and collaborate effectively across teams.
• Proven analytical and problem-solving abilities, with sharp attention to detail, self-motivation, and the capability to thrive in a fast-paced environment.

Responsibilities:

• Lead the design and development of autonomous, multi-step AI agents (workflows) utilizing LLMs and orchestration to streamline complex business processes (e.g., research automation, document handling, data synthesis).
• Create workflow automations employing orchestration tools like n8n (or other equivalents), linking APIs, event triggers, data sources, and AI models into comprehensive solutions.
• Develop, deploy, and maintain Generative AI solutions leveraging both cloud and open-source ecosystems, such as Microsoft Azure services and open-source frameworks like Ollama, Lang Chain, Llama Index, or Hugging Face stacks.
• Contribute to the design and implementation of conversational AI systems (chatbots, virtual assistants) that can perform business tasks and enhance user interaction.
• Utilize advanced techniques like prompt engineering, fine-tuning, retrieval-augmented generation (RAG) architectures, and model optimization to ensure high performance, accuracy, and reliability of deployed agents.
• Collaborate with data scientists, business analysts, product owners, and engineering teams to seamlessly integrate AI workflows into enterprise systems, ensuring alignment with business goals and user requirements.
• Establish testing, monitoring, optimization, and governance frameworks for AI agents, covering performance metrics, reliability, bias mitigation, ethical AI adherence, and scalability.
• Document technical architecture, workflow designs, integration points, and operational procedures; engage in knowledge sharing and the establishment of best practices.
• Keep up-to-date with advancements in generative AI, orchestration technologies, workflow automation, and the open-source ecosystem; contribute to proof-of-concept initiatives and innovation-driven projects.

Company:

We are looking for a Generative AI Workflow Developer to join our AI engineering team in a hybrid remote role based in Melbourne, FL. Our organization is dedicated to integrating cutting‑edge AI‑driven capabilities into enterprise applications and enhancing the efficiency of deployed systems. We offer a comprehensive benefits package that includes a 401(k), dental insurance, health insurance, paid time off, and vision insurance.

You’ll have the opportunity to collaborate with a diverse team and contribute to exciting projects focused on continuous improvement and innovation.