Senior AI Engineer
TypeFull-time job
LocationUnited States
Posted1 hour ago
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
- You will take part, and in many cases lead the thought process for improving core modeling efforts:
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
- You will be a key thought leader in development of our AI platform and infrastructure: ○ 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
Originally posted on Himalayas
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
- You will take part, and in many cases lead the thought process for improving core modeling efforts:
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
- You will be a key thought leader in development of our AI platform and infrastructure: ○ 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
Originally posted on Himalayas
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