AI Python Engineer

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.”