Hands-on AI & Data Engineering Manager
Leads data, AI, and engineering teams building scalable AI-powered consumer products. The role combines people leadership with hands-on architecture, LLM and agent production systems, product analytics, experimentation, and data-driven improvement.
About the job
Responsibilities
- Lead a team of data scientists, data engineers, and product analysts.
- Own delivery of AI-powered product capabilities from research and experimentation through production and operation.
- Drive code quality and best development practices.
- Provide technical direction and hands-on guidance for complex AI systems.
- Integrate LLMs, AI agents, and intelligent workflows into core consumer experiences.
- Ensure AI solutions are safe, scalable, observable, and continuously improving.
- Lead product data analysis and experimentation initiatives.
- Analyze user interactions to improve accuracy, user experience, and business impact.
- Partner with product teams to define metrics, dashboards, and experiments.
- Design architectures for AI-enabled applications at scale.
- Evaluate technologies for AI platforms and data pipelines.
- Guide prompt engineering frameworks and centralized prompt management.
- Build monitoring, evaluation, and feedback loops for AI outputs.
- Translate product and business goals into technical roadmaps and execution plans.
- Align AI capabilities with measurable product outcomes.
Requirements
- 6+ years of software engineering experience building production-level systems.
- 2+ years of engineering management or technical leadership experience.
- Strong experience building large-scale backend systems in Python.
- Experience developing modern web applications using React, Next, Angular, or Vue.
- Experience deploying and operating LLM-based systems in production, including evaluation and iteration.
- Strong understanding of data pipelines, experimentation, and product analytics.
- Experience with modern cloud environments such as Google Cloud Platform or Amazon Web Services.
- Experience with prompt engineering, retrieval-augmented generation architectures, and vector databases.
- Experience building AI agents or autonomous workflows.
- Commitment to clean code, scalable architectures, and data-driven product development.
Nice to Have
- Experience with ADK, A2A, LangChain, LangGraph, LlamaIndex, or equivalent frameworks.
- Experience with gRPC and protobuf-based architectures.
- Experience building MCP servers.
- Background in data engineering, experimentation platforms, or ML infrastructure.
Skills
Python, React, Next.js, Angular, Vue, LLMs, AI Agents, Prompt Engineering, RAG, Vector Databases, GCP, Amazon Web Services, LangChain, LangGraph, gRPC
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