Senior Agentic Platform Engineer

Beeline ID 2:28 119095-1
Number of Openings 1
Duration of contract 12 months
No of years' experience 10 years
Job Title* and Job band Senior Agentic Platform Engineer
Detailed job description - Skill Set*: Senior Agentic Platform Engineer to serve as the lead architect and implementer for our Intelligence Layer. This role is designed for a senior individual contributor who can operate with high autonomy to design, develop, and deploy production-ready solutions that optimize both internal data operations and external-facing intelligence.

You will be responsible for the end-to-end delivery of the connective tissue between our multi-agent architecture and our knowledge graph, supporting the existing team by accelerating technical milestones and hardening the CI/CD processes required for reliable AI deployment

Mandatory Skills *10 years of Senior Software & Data Engineering experience, with a proven track record of production delivery within a global enterprise environment.
*Advanced Agentic Orchestration (2 years): Deep, hands-on mastery of LangGraph (StateGraph, Command, and Persistence) and LangChain.
*Multi-LLM Mastery: Expert implementation of frontier models (including Anthropic Claude, OpenAI GPT, and Llama) and the Model Context Protocol (ClientP) for standardized tool-calling and context injection across model providers.
*TigerGraph & GSQL Specialist (5 years): Expert-level proficiency in GSQL development, including writing distributed graph algorithms and optimizing complex sub-queries.
*Knowledge Modeling: Direct experience modeling enterprise ontologies using OWL, SKOS, or RDF and successfully mapping them to Labeled Property Graph (LPG) schemas.
*Analytics Engineering Mastery (5 years): Expert-level dbt (Core/Cloud) and Snowflake architecture, with specific experience building automated Data Quality (DQ) monitors and trust-score pipelines.
*Development Stack: High proficiency in Python (specifically Asynchronous programming, FastAPI, and Pydantic) and advanced SQL.
*Internal Data Ops Optimization: Demonstrated experience building agents and skills specifically designed to automate Data Governance and Data Operations (e.g., automated glossary curation, schema discovery, and policy enforcement).
Good to Have Skills *Unstructured Data & Vectors: Experience with unstructured data management and the implementation of vector databases (e.g., Pinecone, Weaviate, or Snowflake Cortex Search) within RAG architectures.
*Enterprise Metadata Management: Hands-on experience with DataHub or similar data catalog and metadata management solutions to drive automated discovery.
*Domain Expertise: Familiarity with Sales B2B and B2C data processes and associated tooling (e.g., Client), including experience navigating CRM schemas for agentic tool-calling.
*Governance & Security: Familiarity with data privacy and security frameworks (GDPR, SOC2) as they apply to autonomous agents and Large Language Models.
*Community Engagement: Contributions to open-source agentic frameworks or participation in the development of the Model Context Protocol (ClientP) ecosystem.
Vendor Billing range (share in local currency) * (All inclusive)
Work Location (with Zip code of onsite)* 94085
Client Interview / F2F Applicable Yes/Online