Senior AI Developer

Responsibilities:Lead end‑to‑end development of AI/ML solutions from discovery and PoC through production, monitoring, and continuous improvement.Build GenAI applications (e.g., RAG, summarization, code assistants, document intelligence) that accelerate engineering and project workflows.Design and implement data pipelines and feature stores; integrate structured, unstructured, and geospatial data at scale.Develop scalable APIs/microservices for model serving and orchestration using Python and modern frameworks.Implement ML Ops (CI/CD, containers, model registry, AWS/GCP as needed) and managed AI services (e.g., Azure OpenAI).Ensure security, privacy, and responsible AI practices observability, retraining) to ensure reliable deployments.Leverage cloud platforms (AZURE preferred; including governance, model risk management, and bias/robustness checks.Collaborate with cross‑functional teams to turn requirements into technical designs, delivery plans, and measurable outcomes.Mentor developers and data scientists; contribute to coding standards, reusable components, and best practices.Document architecture, decisions, and operating procedures for maintainability and auditability.Requirements:Bachelor’s or Master’s in Computer Science, Data Science, Engineering, or related field (or equivalent experience).6+ years in software/AI development, with 3+ years building production ML/AI systems.Strong Python skills; experience with PyTorch or TensorFlow and modern GenAI stacks (e.g., LangChain/LlamaIndex).Hands‑on with LLMs and RAG (prompting, evaluation, vector search, guardrails); experience with vector databases (e.g., FAISS, Milvus, Pinecone).Proficient in data engineering (SQL, ETL/ELT, Spark or similar), APIs, and microservices.Experience with Docker, Kubernetes, CI/CD (GitHub Actions/Azure DevOps/GitLab), and model monitoring.Cloud proficiency—Azure preferred (Azure OpenAI, Cognitive Search, Azure ML); AWS/GCP a plus.Solid understanding of security, compliance, and responsible AI considerations in enterprise environments.Excellent communication and stakeholder engagement skills; ability to lead technical delivery and coach others.