ONLY W2 (NO

C2C/1099

) Job title: Senior GenAI / Agentic AI Engineer (Python-heavy)

Contract:

6 months (possible extension)

Location:

Concord, CA ( Hybrid working model - 3 days onsite/2 days remote) In-person interview at client location Job Overview We are seeking a Senior GenAI / Agentic AI Engineer to design and develop intelligent, agent-based solutions that automate user testing for marketing campaigns. The role will focus on building multi-agent systems, RAG pipelines, and AI-driven testing workflows using Google Cloud technologies. The ideal candidate will have strong hands-on experience with GenAI, LLMs, agent orchestration, RAG, vector databases, Python, and Google Cloud Platform. Experience with Google ADK (Agent Development Kit) is highly preferred. Key Responsibilities Design and develop multi-agent AI systems for automated user testing. Build AI agents that can simulate different users and automatically execute testing scenarios. Develop agent-to-agent communication and workflows between multiple AI agents. Build and optimize Retrieval-Augmented Generation (RAG) solutions. Design data architectures and determine when to use: Vector databases Relational databases Graph data stores Develop scalable document ingestion pipelines for large volumes of data, including potentially millions of PDF documents. Implement document processing and deduplication strategies to reduce storage, processing time, and infrastructure costs. Develop GenAI applications using Google Cloud Platform (Google Cloud Platform). Work with Google ADK (Agent Development Kit) to build and orchestrate AI agents. Develop solutions using frameworks such as LangChain and/or LangGraph. Integrate LLMs with enterprise data sources and knowledge repositories. Design scalable architectures for AI-powered marketing campaign testing. Develop production-quality Python applications and services. Evaluate system architecture, performance, scalability, and cost. Collaborate with technical and business stakeholders to translate requirements into AI-powered solutions. Required Skills Strong hands-on experience with Python. Strong understanding of Generative AI and LLM technologies. Experience designing and developing multi-agent systems. Strong understanding of RAG architecture and implementation. Experience with vector databases and semantic search. Understanding of relational databases and graph databases and their appropriate use cases. Strong Google Cloud Platform / Google Cloud experience. Experience with AI/LLM frameworks such as LangChain or LangGraph. Understanding of document ingestion, chunking, embeddings, indexing, and deduplication. Strong problem-solving and system-design skills. Experience developing scalable and production-ready AI applications. Preferred Skills Hands-on experience with Google ADK (Agent Development Kit). Experience implementing agent-to-agent (A2A) communication. Experience building AI agents for automated testing or workflow automation. Experience with large-scale document processing. Experience optimizing vector database storage and retrieval costs. Experience with Google Cloud-based GenAI architectures. Experience with marketing technology or automated user-testing platforms.

EEO:

Mindlance is an Equal Opportunity Employer and does not discriminate in employment based on - Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.