Senior AI Engineer

All Cares; Oregon; Ibrido; USD 150.000 - 190.000; Tempo pieno

Descrizione del lavoro

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

You’ll spearhead production-grade AI capabilities, collaborate with product and engineering teams, and drive the internal AI platform to scale AI across multiple data products for financial intelligence and app

Competenze

• 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 + APIs and cloud (AWS preferred).
• Databricks tooling experience preferred.

Mansioni

• Incorporate LLM powered systems into new data products and advance existing ones.
• Design and implement agentic workflows combining LLMs, data, and tools.
• Develop ML algorithms for use cases like app usage forecasting and customer behavior.
• Lead rapid experimentation cycles to test LLM capabilities and architectures.
• Define frameworks for prompting, memory, tool use, and system architecture.

Conoscenze

5+ years data science / ML experience

Hands-on with LLMs

Python programming

APIs & cloud (AWS)

Databricks tooling

Experimentation & rapid cycles

Strumenti

Databricks

AWS

APIs

Descrizione del lavoro

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

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 marketDesign and implement agentic workflows that combine LLM reasoning, structured data, and external tools to accelerate new product deliveryExperiment with multi-step reasoning systems, RAG, tool orchestration, and emerging paradigms to improve analyst workflowsDesign, 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 automationIdentify opportunities to augment core datasets with LLM-derived features, classifications, and insightsResearch, 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 scaleLead rapid experimentation cycles to evaluate new LLM capabilities, architectures, and vendorsDefine frameworks for evaluating LLM quality, reliability, and cost-performance tradeoffsPartner with product and engineering to take ideas from 0 → productionHelp define best practices for prompting, memory, tool use, and system architecture

Required Qualifications

Required Qualifications5+ years in data science, ML, data engineering, or applied AIExperience building production ML systems end-to-endHands-on experience with LLMs (OpenAI, Anthropic, Bedrock, etc.)Experience with RAG, tool use, or agentic systemsStrong Python + experience with APIs and cloud (AWS preferred)Databricks tooling experience preferredComfortable with ambiguity and fast experimentation cyclesFamiliarity with click stream, app usage, and/or observational panel data preferred