AI Software Engineer

MemeHouse LA, Inc is building AI-powered applications for real business use cases, and this role focuses on turning LLM capabilities into dependable production features. You will work across the application and infrastructure stack to deliver retrieval-augmented generation, evaluation, security controls, and operational maturity for large language model workflows.

This hybrid position is based in Beverly Hills, CA, with an annual salary range of USD 130,000 to 180,000.

What you’ll do

• Develop production-oriented LLM features, retrieval systems, workflow automations, and APIs that map to defined business needs.
• Evaluate and serve 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.
• Build ingestion, indexing, embedding, retrieval, and citation workflows, including access controls.
• Create repeatable tests for response quality, groundedness, latency, cost, and failure modes, and use results to guide improvements.
• Implement deployment pipelines with 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 engineers as the team grows.

What you bring

• 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 including 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 you may work with

• Python, PyTorch, Hugging Face Transformers, vLLM, LangChain, LlamaIndex
• SQL, Git, Linux, Docker
• CI/CD, CUDA, quantization, Kubernetes, infrastructure as code
• CRM, ERP, and related data and application platforms

First 90 days

• First 30 days: Understand architecture, security requirements, and the top use case; establish the 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.

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).

Compensation and signing incentive details

• Annual base salary range: $130,000–$180,000.
• Additional compensation: $5,000 performance-based signing incentive earned through two initial-delivery milestones targeted for the first 90 days.
• Milestone one ($2,500): completion of the agreed prototype, data integration, and initial evaluation deliverables, targeted for day 45.
• Milestone two ($2,500): completion of production readiness, testing, monitoring, and documentation deliverables, targeted for 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.
• The 45- and 90-day 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.