Senior Principal AI Engineer

Required Qualifications:

• Bachelor’s or master’s degree in computer science, Artificial Intelligence, Machine Learning, or a related technical field.
• 8+ years of overall software engineering experience.
• Minimum 3 years of hands-on experience building AI/Generative AI applications using Large Language Models (LLMs).
• Minimum 3 years of experience developing scalable backend software and distributed systems.
• Strong proficiency in Java and Python and modern software engineering principles.
• Hands-on experience with AI orchestration frameworks such as LangGraph, LangChain, LlamaIndex, etc.
• Experience designing and implementing production-grade RAG systems, including embedding models, semantic search, hybrid search, reranking, and vector databases.
• Experience with vector databases such as Milvus, Pinecone, Weaviate, OpenSearch, Elasticsearch, FAISS, or ChromaDB.
• Experience integrating and deploying applications using LLMs such as OpenAI GPT, Claude, Gemini, Llama, Mistral, Amazon Nova, or Azure OpenAI.
• Strong experience building REST APIs using FastAPI or similar Python frameworks.
• Experience with containerization and orchestration technologies such as Docker and Kubernetes.
• Experience deploying AI solutions on cloud platforms such as AWS, Azure, or GCP.
• Familiarity with CI/CD pipelines, Git, and modern DevOps practices.
• Experience with AI evaluation, prompt engineering, observability, and monitoring tools such as LangSmith, Langfuse, MLflow, OpenTelemetry, Prometheus, or Grafana.
• Strong understanding of software architecture, microservices, asynchronous programming, and distributed systems.
• Excellent problem-solving, communication, and collaboration skills, with the ability to work effectively in a cross-functional team environment.