What are the responsibilities and job description for the Senior Agentic Platform Engineer position at Jobs via Dice?
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Talent Groups, is seeking the following. Apply via Dice today!
Key Skills (Must Have):
Experience & Technical Skills:
Key Skills (Must Have):
- Strong hands-on experience in Agentic AI systems and multi-agent architectures
- Proven expertise with TigerGraph or similar graph databases (mandatory)
- Experience working with data catalog and metadata management tools such as DataHub or equivalent platforms
- Solid understanding and practical implementation of Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) architectures
- Strong knowledge of CI/CD pipelines and DevOps practices, especially for AI/ML deployments
- Experience in Data Governance, including policy implementation, data quality, and lifecycle management
- Good understanding of Data Privacy and Security frameworks (e.g., GDPR, SOC2 or similar standards
Experience & Technical Skills:
- 10 years of experience in software engineering, data engineering, or related roles within enterprise environments
- Strong hands-on experience with agent orchestration frameworks such as LangGraph and LangChain
- Expertise in working with multiple large language models (LLMs), including Anthropic Claude, OpenAI GPT, and Llama
- Experience implementing standardized tool-calling and context management across models
- Advanced proficiency in Python (including asynchronous programming, FastAPI, and Pydantic) and SQL
- Extensive experience with TigerGraph and GSQL, including building and optimizing graph-based algorithms
- Strong background in knowledge modeling using OWL, SKOS, or RDF, and mapping to graph schemas
- Expertise in analytics engineering using dbt and Snowflake, including building data quality monitoring systems
- Proven ability to implement spec-driven development approaches using tools such as OpenAPI or similar frameworks
- Experience designing CI/CD pipelines optimized for AI/ML deployments
- Strong understanding of development workflow optimization and process engineering for iterative AI systems