Senior Data Engineer (Agentic AI)

Location: United States; Conshohocken, Pennsylvania or Denver, Colorado preferred, or US Remote

Salary: $138,862–$173,578 USD annually

Company

hirify.global provides an enterprise data activation platform that enables secure, scalable connectivity and AI-driven business transformation.

What you will do

• Architect and build scalable, secure, and observable data infrastructure for LLM-based agents, multi-agent systems, and tool-using AI workflows.
• Design and operate batch and real-time data pipelines supporting embeddings, RAG systems, and agent memory frameworks.
• Develop and manage vector databases for low-latency retrieval and contextual intelligence.
• Build frameworks for training, evaluation, benchmarking, and continuous improvement of agentic AI systems.
• Implement data governance, quality controls, lineage tracking, PII handling, and security compliance.
• Collaborate with AI/ML, platform, and DevOps teams to productionize AI prototypes and optimize systems across AWS, Azure, or GCP.

Requirements

• 5+ years of experience building and operating large-scale data platforms as a Data Engineer.
• Strong Python and SQL programming skills.
• Experience designing batch and real-time pipelines, including Kafka or Kinesis.
• Experience with modern data platforms and cloud environments such as AWS, Azure, or GCP, including Snowflake.
• Understanding of LLM data workflows, embeddings, RAG pipelines, evaluation datasets, and vector databases such as Pinecone or Milvus.
• Experience with DataOps/MLOps tools including Airflow, dbt, Lavender, or MLflow, plus data quality, governance, and security practices.

Nice to have

• Experience supporting agentic AI systems, multi-agent architectures, or tool-using AI agents.
• Familiarity with agent memory models, conversation histories, and reasoning trace storage.
• Experience with synthetic data generation, simulation frameworks, prompt engineering workflows, or prompt version management.
• Experience optimizing data systems for low-latency AI workloads.

Culture & Benefits

• Remote-friendly work arrangement within the United States.
• Fair and equitable compensation practices.
• Potential eligibility for an annual performance bonus for non-commissioned roles.
• Inclusive and accessible work environment focused on diversity and authentic self-expression.