Senior AI Engineer

All Cares; United States; Remote; USD 170,000 - 250,000; Full time

Job summary

Apptopia is seeking a Senior AI Engineer to lead our push into LLMs, agentic systems, and AI-driven product innovation. You’ll design and build intelligent systems that combine LLM reasoning, structured data, and tool orchestration to shape how we use AI across our product and company.

You will own production ML capabilities, advance data products, and collaborate with product and engineering to deploy scalable AI features.

Qualifications

• 5+ years in data science, ML, or applied AI.
• Experience building production ML systems end-to-end.
• Hands-on experience with LLMs (OpenAI, Anthropic, Bedrock).
• Experience with RAG, tool use, or agentic systems.
• Strong Python and cloud (AWS) experience.

Responsibilities

• Incorporate LLM-powered systems into new data products.
• Advance existing products with AI capabilities.
• Design agentic workflows combining LLM reasoning, data, and tools.
• Experiment with multi-step reasoning and tool orchestration.
• Develop ML algorithms for app usage, behavior, and forecasting.

Skills

5+ yrs AI/DS

Production ML

Python

AWS cloud

LLMs experience

RAG/agentic systems

Education

Bachelor's degree in CS/Math/Related

Tools

Databricks

Job description

Senior AI Engineer

Apptopia is seeking a Senior AI Engineer to join our dynamic, data-driven team at a high-growth startup backed by powerhouse investors like Mark Cuban and ABS Capital. We specialize in providing actionable competitive intelligence to investment firms and financial institutions by estimating worldwide downloads, revenues, and active users for every mobile app. We also provide a unique, highly valued product with app user behavior insights. Our actionable app-store data and intuitive business intelligence tool help companies like Google, Facebook, and top hedge funds make smarter decisions.

Apptopia is hiring a Senior AI Engineer to lead our push into LLMs, agentic systems, and AI-driven product innovation.

You’ll design and build intelligent systems that combine LLM reasoning, structured data, and tool orchestration—shaping how we use AI across our product and company.

Responsibilities

• You will be a Senior AI Engineer on the Product team where you will work on incorporating LLM powered systems into new data products, advance our existing products and help shape Apptopia’s long term AI strategy.
• You will spearhead efforts to incorporate LLM powered systems as we bring new finance focused products to market
• Design and implement agentic workflows that combine LLM reasoning, structured data, and external tools to accelerate new product delivery
• Experiment with multi-step reasoning systems, RAG, tool orchestration, and emerging paradigms to improve analyst workflows
• Design, develop, and implement machine learning algorithms to advance a broad set of use cases including app usage trend forecasting, consumer behavior prediction,, stock price movement estimation, user segmentation
• Identify opportunities to extend existing modeling work into AI-native systems that integrate predictions, reasoning, and automation
• Identify opportunities to augment core datasets with LLM-derived features, classifications, and insights
• Research, identify, and test ensemble methodologies to continuously improve accuracy and coverage in our models used for core app usage estimates
• Contribute to the design of internal AI platforms that enable teams to leverage LLMs at scale
• Lead rapid experimentation cycles to evaluate new LLM capabilities, architectures, and vendors
• Define frameworks for evaluating LLM quality, reliability, and cost-performance tradeoffs
• Partner with product and engineering to take ideas from 0 production
• Help define best practices for prompting, memory, tool use, and system architecture

Required Qualifications

• 5+ years in data science, ML, data engineering, or applied AI
• Experience building production ML systems end-to-end
• Hands-on experience with LLMs (OpenAI, Anthropic, Bedrock, etc.)
• Experience with RAG, tool use, or agentic systems
• Strong Python + experience with APIs and cloud (AWS preferred)
• Databricks tooling experience preferred
• Comfortable with ambiguity and fast experimentation cycles
• Familiarity with click stream, app usage, and/or observational panel data preferred