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AI​/ML Engineer – Agentic AI & Data Science

Job in Riverside, Riverside County, California, 92501, USA
Listing for: Unicon Pharma Inc
Full Time position
Listed on 2026-11-05
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Data Scientist
Salary/Wage Range or Industry Benchmark: 120000 - 210000 USD Yearly USD 120000.00 210000.00 YEAR
Job Description & How to Apply Below

We are looking for an experienced AI/ML Scientist with a strong Data Science background and hands-on expertise in Agentic AI to develop and build reliable AI agent workflows for scientific data extraction, processing, and analysis.

Key Responsibilities:
  • Design, develop, and implement Agentic AI workflows and LLM-based applications.
  • Build AI agents using Python, LLM APIs, and agent orchestration frameworks.
  • Develop data pipelines for ingestion, processing, and structured data extraction.
  • Implement typed output schemas, data validation, and automated testing.
  • Build evaluation frameworks to measure agent performance, accuracy, and reliability.
  • Integrate AI workflows with Databricks and cloud-based environments.
  • Optimize agent workflows for performance, cost, scalability, and reliability.
  • Collaborate with Data Scientists, Software Engineers, and Research Scientists on AI-driven projects.
Required Skills:
  • 5+ years of experience in Data Science, AI/ML, or a related field.
  • Strong Data Science background with hands-on Python programming experience.
  • Proven experience in Agentic AI, AI Agents, and LLM-based application development
    .
  • Experience with agent orchestration frameworks such as OpenAI Agents SDK or Lang Chain/Lang Graph.
  • Strong understanding of API integrations, structured outputs, and data pipelines.
  • Experience with Git, automated testing, debugging, and software development practices.
  • Knowledge of machine learning, data quality, and model evaluation.
  • Exposure to Databricks and cloud platforms is highly preferred.
Preferred:
  • Experience working with scientific, pharmaceutical, biotechnology, or research data.
  • Understanding of synthetic chemistry or medicinal chemistry.
  • Experience with AI observability, tracing, and workflow optimization.
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