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AI / Data Engineer

AI / Data Engineer

WickedFileAlpharetta, Georgia, United States
30+ days ago
Job type
  • Full-time
  • Quick Apply
Job description

AI / Data Engineer – Core Role at WickedFile

Location : Remote.

Employment Type : Full-Time.

Experience Level : Mid-to-Senior.

Industry : Automotive SaaS, AI-Driven Analytics.

WickedFile is on a mission to redefine how automotive repair shops understand and act on their financial and operational data. We're turning messy, inconsistent data into insight that drives real-world results. Our platform leverages LLMs and AI to surface trends, identify outliers, and spot the invisible patterns that matter most to shop owners and multi-location operators.

We’re looking for a hands-on AI / Data Engineer who’s ready to take the lead on all things LLM + data processing. This is a mission-critical seat on a lean, fast-moving, highly technical team. You’ll work directly with leadership to build, deploy, and scale the systems that make WickedFile work.

What You’ll Do :

  • Interface with remote LLMs (OpenAI, Anthropic, Claude, Gemini, etc.) for document parsing, semantic matching, and complex reasoning tasks.
  • Deploy and fine-tune local LLMs (Llama, Mistral, etc.) for specialized tasks where latency, privacy, or cost demands it.
  • Train custom LLMs on proprietary datasets to increase task accuracy and context awareness.
  • Build and maintain robust data pipelines to clean, standardize, and normalize messy vendor and financial data from dozens of disparate systems.
  • Design prompt engineering strategies and feedback loops to improve reliability and accuracy of model outputs.
  • Work in AWS to deploy scalable and cost-efficient services across EC2, Lambda, S3, ECS, etc.
  • Own your output – From prototype to production, you’ll be expected to think in terms of performance, security, cost, and maintainability.

What You Should Bring :

  • Proven experience working with LLMs via API (OpenAI, Claude, Gemini, etc.) and fine-tuning or training smaller models (e.g. Llama, Mistral, etc.).
  • Strong background in Python or Node.js , including working with libraries like LangChain, Transformers, or similar.
  • Deep understanding of data wrangling, cleansing, and normalization techniques across unstructured and semi-structured datasets.
  • Comfortable with AWS – deploying inference pipelines, managing scalable workloads, and optimizing compute / storage costs.
  • Knowledge of prompt engineering techniques, context management, and token budgeting.
  • Bonus : Familiarity with automotive service or financial data , or experience parsing documents like invoices / statements.

    • Why Join WickedFile :

  • Massive Impact – Your work will directly improve business decisions at real shops across North America.
  • High Ownership – No silos. You’ll have autonomy and a voice in shaping core tech and product direction.
  • Ground Floor – Be part of something early. We’re small, nimble, and moving fast.
  • Real-World AI – Not a research role. We’re shipping LLM-powered features used in production by paying customers.

    • Ready to build something that actually matters?

    Send us your resume, GitHub, or a few words about what you've built. Let’s talk.

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    Engineer • Alpharetta, Georgia, United States