Design, develop, and deploy production-ready AI/ML solutions for enterprise applications
Build and optimize Large Language Model (LLM) applications, AI agents, and Retrieval-Augmented Generation (RAG) pipelines
Fine-tune, evaluate, and optimize open-source and commercial AI models for specific business use cases
Develop scalable APIs and AI services using Python frameworks such as FastAPI or Flask
Build intelligent automation workflows using AI, vector databases, and orchestration frameworks
Design and implement machine learning pipelines for data preprocessing, feature engineering, model training, validation, and deployment
Collaborate with Product Managers, Architects, UI/UX Designers, and DevOps teams to deliver AI-powered products
Optimize model inference performance, latency, and infrastructure costs
Mentor junior AI engineers and participate in architecture discussions, technical reviews, and code reviews
Research and evaluate emerging AI technologies and recommend adoption where appropriate
Ensure AI applications follow security, privacy, and responsible AI best practices
4+ years in Artificial Intelligence, Machine Learning, and production software development with at least 2 years of hands-on experience in Generative AI and LLM-based applications
Strong experience with Machine Learning, Deep Learning, NLP, and Generative AI
Hands-on experience with LLMs such as GPT, Claude, Llama, Qwen, Mistral, or Gemma
Experience developing AI Agents and multi-agent workflows
Strong understanding of prompt engineering, structured outputs, function calling, and tool integration
Experience implementing Retrieval-Augmented Generation (RAG) architectures
Knowledge of embedding models and semantic search
