EA23 - Semi Senior AI Engineer

As a Semi Senior AI Engineer, contribute to building, operating, and improving AI-driven systems that support internal business capabilities, with responsibilities including AI web app and AI-powered data pipelines, text embeddings and vector stores, custom tools, AI Agents, LLM scorers, and continuous improvement efforts.

Requirements

• 4-6 years of industry experience in software engineering or related roles.
• Strong command of Python, including developing production services, working with asynchronous programming, and writing tests.
• Practical experience with AI agent development frameworks such as LangChain, LangGraph, and LlamaIndex.
• Experience leveraging MLflow for prompt engineering, experimentation, evaluation, model registry, and deployments.
• Solid understanding of vector databases (e.g., FAISS, Pinecone, Weaviate, Chroma, or similar), including serverless or managed implementations.
• Experience implementing Retrieval-Augmented Generation (RAG) solutions, including data ingestion, retrieval, and LLM generation.
• Experience designing, building, and consuming REST APIs, model serving solutions, and CI/CD pipelines.
• Experience working with cloud platforms (AWS), containerization (Docker), and modern deployment practices.
• Hands-on experience with Databricks, Apache Spark, and Delta Lake (nice to have).
• Advanced English proficiency, both written and verbal.

Benefits

• Generous Paid Time Off
• 401k Matching
• Retirement Plan