Why This Role Stands Out
This AI Scientist role offers an exciting opportunity to design and build cutting-edge agentic AI systems and RAG pipelines, leveraging modern frameworks and deploying on Google Vertex AI. You'll thrive here if you're a mid-senior professional passionate about advanced AI development, clean code, and collaborative engineering practices, with the flexibility of a hybrid work environment. Apply now to shape the future of AI at MHK TECH INC!
Quick Overview
Seniority
Mid Senior
Work mode
Hybrid
Location
Dallas, TX, United States
Posted
22 hours ago
DockerFastAPILLMPython
Job Description
Agentic AI & Orchestration:
- Design and build multi-agent systems for data workflows agents that retrieve, generate, validate, and iterate autonomously
- Implement agent orchestration using frameworks such as Google ADK, LangGraph, or LangChain
- Deploy and manage agents on Google Vertex AI
Document Understanding & RAG:
- Build document processing pipelines (PDFs, Word/DOCX) extraction, parsing, table detection, structure recognition
- Design and build RAG pipelines grounded in source documents
- Process, extract and transform data from unstructured and semi-structured sources
Code Quality & Engineering Practices:
- Write clean, well-tested, maintainable Python code following SOLID principles and recognised design patterns
- Apply single responsibility, dependency inversion, and interface segregation in real codebases not just theory
- Write meaningful tests, and maintain high standards across the team
- Refactor and improve existing code as part of normal development workflow
AI-Assisted Development:
- Use AI coding tools (e.g.Gemini CLI, GitHub Copilot) as a core part of your development workflow
- Critically review and validate AI-generated code understanding what it produces, why, and when it s wrong
- Write effective prompts to direct AI tools toward correct, secure, well-structured output
- Know when to use AI and when to write code manually judgement over speed
Platform & Infrastructure:
- Integrate and orchestrate LLM providers available through Google Vertex AI (Gemini, etc.)
- Build internal tools and applications using Streamlit and FastAPI
- Containerize and deploy services using Docker
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