AI Dev Lead - LLM & Applied AI Solutions

We are hiring an experienced AI dev lead who has a strong foundation in modern AI technologies and hands‑on experience wrapping and deploying LLMs for real‑world applications. The ideal candidate understands both AI product architecture and software engineering, with the ability to design, integrate, and optimize intelligent systems using APIs, vector databases, and enterprise data pipelines. In this role, you will collaborate with project managers, solution architects, and developers to build and maintain scalable AI‑enabled web applications, while also managing the infrastructure and data layers that make these tools reliable and secure. ESSENTIAL DUTIES AND RESPONSIBILITIES Design, build, and deploy solutions that wrap large language models (OpenAI, Anthropic, Claude, Gemini, etc.) for practical business use cases. Implement and optimize retrieval‑augmented generation (RAG) frameworks using vector databases (e.g., Quadrant, Pinecone, FAISS, Chroma, Milvus). Build robust API integrations between AI providers, internal systems, and user interfaces. Structure and maintain SQL or NoSQL databases to support knowledge retrieval, model context, and user interaction histories. Collaborate with front‑end engineers to design user‑friendly interfaces for AI chatbots, dashboards, and knowledge assistants. Conduct prompt engineering, performance evaluation, and continuous tuning of model responses to improve accuracy and reliability. Manage corpus ingestion, vectorization, and updating of proprietary datasets feeding the AI tools. Ensure compliance with data governance, security, and privacy best practices related to AI and sensitive data. Document architectural decisions, workflows, and model performance. Support agile sprints and cross‑team communication. SKILLS 2‑3 years of professional experience in AI development, with at least one end‑to‑end deployed LLM or AI product. Strong programming background in Python (preferred) or C#. Experience with LLM APIs (OpenAI, Azure OpenAI, Anthropic, Hugging Face, etc.). Solid understanding of RAG architecture and vector database design. Experience with RESTful API development and integration. Proficiency in SQL (T‑SQL, PostgreSQL, MySQL) and general database design. Familiarity with LangChain, LlamaIndex, or similar AI orchestration frameworks. Working knowledge of cloud platforms (Azure, AWS, or GCP) for hosting AI workloads. Understanding of Docker, Kubernetes, or similar container orchestration tools. Experience integrating AI with web front ends (React, Next.js, or Streamlit preferred). Knowledge of embedding models, prompt engineering, and token optimization. Exposure to data transformation pipelines and ETL tools. AI/ML certification from a recognized institution (Microsoft, Google, Coursera, etc.). Experience working with Git, CI/CD pipelines, and DevOps environments. QUALIFICATIONS Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Engineering, or related field. #J-18808-Ljbffr