
Associate Director
Who You Are You Are You are good at what you do and possess the required technical depth to prove it. However, equally as important, you have a growth mindset and a passion for driving your own personal and professional development in emerging technologies. You are deeply customer-focused, prioritizing client success above all else when co-creating custom AI solutions face-to-face with enterprise teams. Finally, you are open and borderless—naturally inclusive in how you work, thriving in a flat, highly collaborative team where you share learnings openly across our physical Frisco Lab and global digital channels.
Job Details
Responsibilities
- Full-Stack Architecture & Rapid Prototyping: Build and scale responsive frontend interfaces with React, Angular, or Vue; develop backend APIs and data pipelines; prototype and ship MVPs within weeks.
- Agentic AI & Knowledge Systems Integration: Design and deploy multi-agent orchestration frameworks; configure RAG architectures; optimize LLM deployment and cost.
- Client Co-Creation & Technical Ownership: Embed with enterprise client teams; translate business requirements into scalable architectures; own end-to-end delivery.
- Platform Contribution & Operational Excellence: Capture deployment learnings; collaborate with lab engineering leads; share knowledge across teams.
Requirements
- 4+ years of professional software engineering experience with strong proficiency in Python and JavaScript/TypeScript backend development.
- Hands-on experience building, designing, and deploying applications using modern frameworks and orchestrators (e.g., LangChain, AutoGen, or CrewAI) in production.
- Experience designing and maintaining modern frontend applications (React, Angular, or Vue), particularly handling streaming data or real-time query responses.
- Practical understanding and deployment experience with Retrieval-Augmented Generation (RAG) pipelines and vector databases (e.g., Pinecone, Milvus, Qdrant, Chroma).
- Experience deploying containerized applications using Docker and Kubernetes to major cloud hyper-scalalers (AWS, Azure, or GCP) and distributed computing architectures.
- Strong proficiency with SQL (PostgreSQL) and NoSQL databases, alongside data engineering tools such as Pandas and Spark.
- Deep familiarity with Git, GitHub, CI/CD pipelines, version control, and modern software delivery best practices.
Skills & Technologies
Education Level
BachelorBenefits & Perks
Recruitment Process
- 1Screening
- 2Interview
- 3Offer

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