[Remote] Agentic AI Data Engineer (Scientific Data)

Note: The job is a remote job and is open to candidates in USA. BayOne Solutions is seeking an Agentic AI Data Engineer to build and manage data ingestion pipelines for scientific data. The role involves collaborating with various teams to establish data standards and ensuring the integrity and usability of datasets.ResponsibilitiesBuild an agentic data ingestion pipelineTriage and prioritize incoming requests to ingest specific datasetsClean and organize the data. Build the first pass cleaning and organization steps into the agentic flowValidate cross-modal linkage. Add automated checks that catch when ingested data does not connect correctly and flag low quality or mismatched recordsVersion every dataset. Retain and make prior versions addressablePreserve raw data and provenance. Make agent workflows log validation and transformation steps so lineage is traceableMake agents usable across teams. Move beyond bespoke steps towards agents that teams can reliably use as a shared, deployed serviceCollaborate with AI, software engineering, and computational biology groups to co-define data standards and conventionsSkillsAgentic AI engineering: Demonstrated experience building multi-agent workflows or LLM workflows using tools/frameworks such as LangGraph or LlamaIndex, including tool/function calling and asynchronous task executionPython data engineering: Strong Python for data manipulation, working with APIs and databases, and handling heterogeneous data formatsData versioning and provenance: Familiarity with dataset versioning approaches (e.g. DVC, lakeFS, or equivalent)Working knowledge of scientific data structures: Comfortable or willingness to learn common omics data formats like AnnData, H5AD, TileDBBasic understanding of omics: No deep bioinformatics expertise required; just a basic understanding of different modalities (e.g. what is RNA-seq vs scRNA-seq vs WES; genomics vs transcriptomics vs proteomics vs metabolomics)Unit testing: Comfortable writing unit and functional tests to ensure data processing workflows are reliable and reproducibleEducation: Degree in a technical field or equivalent practical experienceExperience deploying agent workflows as a shared service (e.g., FastAPI or MCP endpoints)Exposure to cloud (AWS, GCP) and containerization (Docker)Familiarity with workflow managers such as Nextflow or SnakemakeCompany OverviewBayOne Solutions provides computer programming services. It was founded in 2012, and is headquartered in Pleasanton, California, USA, with a workforce of 501-1000 employees. Its website is https://bayone.com/.Company H1B SponsorshipBayOne Solutions has a track record of offering H1B sponsorships, with 23 in 2025, 25 in 2024, 20 in 2023, 30 in 2022, 20 in 2021, 37 in 2020. Please note that this does not guarantee sponsorship for this specific role.