Teams at AidenAI

Build and deploy scalable AI/ML and LLM applications, including conversational agents, RAG pipelines, vector search systems, agentic workflows, and model-serving APIs. Responsibilities include prompt engineering, model fine-tuning and evaluation, data preprocessing, feature engineering, enterprise integrations, and performance optimization. The role also involves architecture contributions, code reviews, mentoring, documentation, and collaboration with data scientists, product owners, and solution architects.

Leads the design, development, deployment, and governance of generative AI and agentic AI solutions. Manages and mentors AI engineers, develops machine learning models, architects scalable enterprise systems, collaborates with clients and cross-functional teams, and translates business needs into AI strategies. The role also drives innovation through hackathons, presents technical concepts to stakeholders, and ensures AI solutions are ethical, fair, transparent, and production-ready.

Design, develop, and deploy scalable full-stack applications using Python, Django, FastAPI, or Flask; React or Angular; REST and GraphQL APIs; relational and NoSQL databases; Docker, CI/CD, and cloud platforms. Collaborate with AI, cloud, DevOps, and UI/UX teams, while contributing to system design, performance optimization, code reviews, API security, microservices, and AI-enabled modernization initiatives.