design, implement, and optimize prompts for LLMs
develop and maintain context management strategies including session memory and retrieval-augmented generation
integrate and support fine-tuning of LLMs in Python-based applications
build, test, and maintain conversational and agent workflows using frameworks like LangGraph
work collaboratively with product, data science, and engineering teams to gather requirements
support testing, monitoring, and evaluation pipelines to improve prompt effectiveness
follow and promote best practices in software engineering, code quality, and ethical AI practices

strong hands-on technical expertise in building, integrating, and deploying enterprise-grade AI systems
advanced skills in fullstack Python
experience with a modern data and AI engineering technology stack (e.g., Spark, Kafka, Databricks, Snowflake, Java, Scala, SQL)
understanding of context engineering including session management, vector search, and knowledge retrieval
experience integrating AI agents and LLMs into production environments
familiarity with cloud infrastructure, containerization (Docker), and CI/CD
bachelor level degree or equivalent in Computer Science or related field

Senior Data/AI Engineer

Key skills