Senior Agentic Platform Engineer

Beeline :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 Lang Graph (State Graph, Command, and Persistence) and Lang Chain.

* Multi-LLM Mastery:
Expert implementation of frontier models (including Anthropic Claude, OpenAI GPT, and Llama) and the Model Context Protocol (Client

P) for standardized tool-calling and context injection across model providers.

* Tiger Graph & 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 Data Hub 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 (Client

P) ecosystem.
Vendor Billing range (share in local currency) * (All inclusive)
Work Location (with Zip code of onsite)
* 94085
Client Interview / F2F Applicable Yes/Online