What are the responsibilities and job description for the Senior Agentic AI Engineer position at KTek Resourcing?
Advanced Prompt Engineering, Context Engineering skills, Python skills.
Hands-on experience building agentic AI solutionsusing Google ADK LangChain/LangGraph, including orchestration and tool usage patterns, Kafka, Gepa Optimizer, Agent Harness
Strong Python development skills for backend services, workflow engines, and AI pipelines.
Advanced SQL/PostgresSQL proficiency(complex joins, window functions, query optimization).
Experience with RAG architectures and integrating LLMs with enterprise data sources (vector stores relational systems).
Production-grade engineering practices: testing, CI/CD, logging, monitoring, and error handling, Github, Copilot
Prompt engineering / Prompt finetuning
Mandatory Key Skills
- Python – Strong hands-on development experience
- Agentic AI – Hands-on experience building AI agents and agentic workflows
- Google ADK (Agent Development Kit)
- LangChain / LangGraph – Agent orchestration, workflows, state management and tool calling
- Advanced Prompt Engineering & Context Engineering
- RAG (Retrieval-Augmented Generation) – Enterprise-grade RAG implementation
- Vector Databases / Vector Stores – Integration with LLM/RAG solutions
- SQL / PostgreSQL – Complex joins, window functions and query optimization
- Kafka – Integration with event-driven/backend AI workflows
- Production Engineering – Testing, CI/CD, logging, monitoring and error handling