Senior AI Engineer

📋 Description

• Design and maintain production-grade LLM pipelines (RAG, prompts, parsing).
• Develop AI features for spend categorization, document extraction, and Q&A.
• Implement output validation, fallbacks, and confidence scoring.
• Evaluate AI frameworks (LangChain, LlamaIndex, OpenAI, Anthropic) and select tools.
• Establish prompt versioning and evaluation as models/data evolve.
• Design and maintain vector search pipelines for semantic search.

🎯 Requirements

• Bachelor's degree in CS/Engineering or related field, or equivalent practical experience.
• 5+ years software engineering, with at least 3 years AI/ML in production.
• Hands-on experience deploying LLM-powered apps using OpenAI, Anthropic, or Cohere in production.
• Design/operate RAG pipelines with chunking, embeddings, and vector DBs (Pinecone, Weaviate, pgvector).
• Strong Python for AI/ML; familiarity with LangChain, LlamaIndex, or equivalents.
• Experience with ML model serving: REST or gRPC endpoints, input/output validation, latency budgeting, monitoring.
• Backend fundamentals: REST APIs, PostgreSQL, async, cloud (AWS, GCP, or Azure).
• Observability: structured logging, distributed tracing, dashboards for AI system health.
• Preferred: fintech or regulated industry experience.
• Preferred: ML lifecycle tools (MLflow, Weights & Biases, Vertex AI, SageMaker).
• Preferred: real-time data streaming (Kafka, Kinesis) and startup experience.