Senior AI Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Integrate LLM-powered systems into innovative data products while enhancing existing offerings.

• Contribute to the development of Apptopia’s long-term AI strategy.

• Lead the initiative for LLM-powered systems tailored for finance-oriented products.

• Create and execute agentic workflows that merge LLM reasoning, structured data, and external tools.

• Experiment with multi-step reasoning frameworks, retrieval-augmented generation (RAG), tool orchestration, and new paradigms.

• Design, develop, and implement machine learning algorithms for forecasting app usage trends, predicting consumer behavior, estimating stock price movements, and segmenting users.

• Identify potential opportunities to expand modeling efforts into AI-native systems that combine predictions, reasoning, and automation.

• Enhance core datasets with features, classifications, and insights derived from LLMs.

• Research, identify, and evaluate ensemble methodologies to boost model accuracy and coverage.

• Contribute to internal AI platforms that empower teams to utilize LLMs at scale.

• Assess new LLM capabilities, architectures, and vendors.

• Establish frameworks for evaluating LLM quality, reliability, and cost-performance trade-offs.

• Collaborate with product and engineering teams to transform concepts from inception to production.

• Assist in defining best practices for prompting, memory utilization, tool integration, and system architecture.

⛳️ Requirements

• Over 5 years of experience in data science, machine learning, data engineering, or applied artificial intelligence.

• Proven track record of building end-to-end production ML systems.

• Practical experience with LLMs, including OpenAI, Anthropic, Bedrock, etc.

• Familiarity with retrieval-augmented generation (RAG), tool utilization, or agentic systems.

• Proficient in Python and experienced with APIs and cloud services (AWS preferred).

• Preferred experience with Databricks tooling.

• Ability to navigate ambiguity and engage in rapid experimentation cycles.

• Preferred familiarity with clickstream, app usage data, and/or observational panel data.

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Comprehensive health benefits including medical, dental, and vision coverage.

• Flexible work arrangements to support work-life balance.

• Opportunities for professional development and continuous learning.

• Collaborative and inclusive work environment.