AI Engineer

We are seeking a highly skilled AI Engineer with strong hands-on experience in building and integrating LLM-powered systems. The ideal candidate will have deep expertise in Python, practical experience with LangGraph/LangChain for agent workflows, and proficiency in FastAPI for developing production-grade APIs. This role involves designing, deploying, and scaling intelligent systems that leverage large language models to deliver enterprise-ready solutions.

Key Responsibilities Design and build advanced AI systems powered by large language models (LLMs). Develop and integrate agent workflows using LangGraph/LangChain frameworks. Implement production-grade APIs with FastAPI to support scalable deployments. Collaborate with cross-functional teams (data scientists, ML engineers, product managers) to deliver end-to-end AI solutions. Optimize performance, reliability, and scalability of AI-driven applications. Stay current with emerging AI/ML technologies and contribute to innovation initiatives. Required Skills & Experience Strong hands-on experience with LLM-powered systems (e.g., GPT, Claude, LLaMA, Mistral). Deep expertise in Python for AI/ML development. Proven experience with LangGraph/LangChain for agent workflow orchestration. Proficiency in FastAPI for building robust, production-ready APIs. Solid understanding of ML lifecycle management, including deployment, monitoring, and scaling. Experience with cloud platforms (Azure, AWS, or GCP) for AI/ML workloads. Strong problem-solving skills and ability to work in fast-paced environments. Preferred Qualifications Experience with vector databases (e.g., Pinecone, Weaviate, FAISS) for retrieval-augmented generation. Familiarity with MLOps tools (MLflow, Kubeflow, or similar). Knowledge of prompt engineering and fine-tuning LLMs. Prior work in enterprise AI applications (chatbots, copilots, automation systems).