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Crossover · 1 hour ago

Lead AI Engineer, IgniteTech (Remote) - $60,000/year USD

United States

Full-time

Remote

Mid, Senior Level

$60K/yr - $60K/yr

1+ years exp

Crossover is a company that focuses on innovative software solutions through the use of Generative AI technologies. The Lead AI Engineer will spearhead large-scale initiatives to enhance efficiency and foster innovation by designing and implementing AI-powered systems.

Information Technology & Services

Responsibilities

Drive accelerated product launches and elevated customer satisfaction through ongoing AI-powered enhancements

Developing AI Products and Features: Fine-tune large language models to build entirely new AI-enabled products and discrete modules that integrate smoothly into current solutions or serve as the basis for novel offerings, similar to our team's recent work with www.eloquens.ai

Automating Internal Workflows: Deploy sophisticated AI methodologies to automate internal operations and processes

Qualification

Generative AI solutionsLarge language modelsFull-stack developmentAI-first approachAI code assistantsPredictive analyticsCustomer satisfactionAutomating workflows

Required

Developed code modules that incorporate advanced LLMs into applications (e.g., customer service chatbots, API connections)

Augmented legacy systems with predictive analytics or tailored recommendations through automated AI implementations

Leveraged AI to swiftly resolve recurring bug corrections and feature enhancements (e.g., real-time language translation or dynamic content personalization)

AI-First Approach (if your default behavior is to write code manually before using AI tools for verification or refinement, rather than leading with AI, then this role is not appropriate for you)

A minimum of 1 year of full-stack development experience (both front-end and back-end coding capabilities are mandatory)

Substantial hands-on experience with GenAI code assistants (e.g., Github Copilot, Cursor.sh, v0.dev)

Demonstrated track record of successfully deploying Generative AI solutions that yielded significant measurable business impact

Proven experience applying various LLMs (e.g., GPT, Claude, Mistral) to address business challenges

Knowledge of when and why to select particular LLM models for distinct use cases