AI Software Engineer
Backend Developer
Ai Engineer
APIs
Artificial Intelligence
Cloud Operations
Data Analysis
Data Analytics
Data Integration
Data Processing
Databases
Developer
DevOps
Docker & Kubernetes
Engineering
Generative AI
Information Technology (IT)
Large Language Models
Llm Inference
Machine Learning
Machine Learning Engineer
Programming
Programming Language
Programming Languages
Software Development
Software Engineer
Software Engineering
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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