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Job Description

Join MemeHouse LA, Inc in Beverly Hills to build production-ready AI applications powered by large language models and retrieval-augmented generation (RAG).

Responsibilities

  • Build production-oriented LLM features, retrieval systems, workflow automations, and APIs aligned to defined business needs
  • Evaluate and deploy appropriately licensed open-weight models on private, dedicated, or customer-controlled infrastructure
  • Integrate approved documents, databases, CRMs, business applications, and other structured or unstructured data sources
  • Develop ingestion, indexing, embedding, retrieval, and citation workflows with access controls
  • Create repeatable tests for response quality, groundedness, latency, cost, and failure modes; use outcomes to drive improvements
  • Implement deployment pipelines, observability, error handling, versioning, rollback procedures, and operational documentation
  • Apply least-privilege access, secrets management, tenant separation where applicable, and safeguards against prompt injection and unintended data disclosure
  • Participate in code reviews, document architectural decisions, share findings, and help mentor additional engineers as the team expands

Requirements

  • Strong Python skills with experience building maintainable software, APIs, automated tests, and data integrations
  • Hands-on experience with LLM applications, embeddings, RAG, model evaluation, or fine-tuning when appropriate
  • Experience with tools such as PyTorch, Hugging Face Transformers, vLLM, LangChain, or LlamaIndex
  • Comfort with SQL, Git, Linux, Docker, API authentication, and CI/CD workflows
  • Experience processing business data and designing reliable ingestion or transformation pipelines
  • Ability to reason about data privacy, permissions, model limitations, and secure deployment
  • Ability to scope work, communicate blockers early, document decisions, and deliver usable results
  • Relevant professional experience, substantial project work, or equivalent evidence of technical proficiency
  • A specific degree is not required

Technologies

  • Python, PyTorch, Hugging Face Transformers, vLLM, LangChain, LlamaIndex
  • SQL, Git, Linux, Docker, CI/CD
  • CUDA, quantization, Kubernetes
  • Infrastructure as code, CRM, ERP

Location and Work Model

  • Beverly Hills, CA (hybrid)

Benefits

  • Employer-sponsored health insurance, subject to plan eligibility and terms
  • 401(k) participation, subject to plan eligibility and terms
  • Unlimited paid time off under the company’s written policy, plus applicable paid sick leave and other legally protected leave
  • $5,000 gross performance-based signing incentive (milestone bonus)

Your First 90 Days

  • First 30 days: Understand architecture, security requirements, and priority use case; establish development environment and evaluation approach
  • Target by day 45: Deliver a working AI prototype connected to an approved data source, with reproducible setup instructions and initial evaluation results
  • Target by day 90: Deliver a production-ready version of the agreed feature in an approved staging or production environment, supported by automated tests, monitoring, and a deployment and rollback runbook

Helpful Additional Experience

  • CUDA, quantization, batching, GPU memory management, or inference benchmarking
  • Kubernetes, infrastructure as code, private networking, or on-premises deployments
  • CRM, ERP, finance, document-management, or analytics platforms
  • Permission-aware retrieval testing, adversarial testing, or production AI observability
  • Open-source work, technical writing, or mentoring other engineers

Compensation and $5,000 Signing Incentive

  • Annual base salary range: $130,000–$180,000
  • Signing incentive: $5,000 performance-based, earned through two initial-delivery milestones targeted for the first 90 days
  • Milestone one: $2,500 upon completion of agreed prototype, data integration, and initial evaluation deliverables (target: day 45)
  • Milestone two: $2,500 upon completion of agreed production-readiness, testing, monitoring, and documentation deliverables (target: day 90)
  • Written milestone requirements and objective acceptance criteria will be provided before employment begins
  • Each installment is earned when criteria are satisfied and is paid on the next regular payday (or earlier if required by applicable law), less required tax withholdings
  • Day 45 and day 90 dates are delivery targets, not minimum-service or automatic-forfeiture dates
  • Once earned, an installment is not conditioned on continued employment through its payment date and does not have to be repaid if employment later ends

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