Sr. Backend AI Engineer – Onsite DTLA
Listed on 2026-02-15
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Software Development
AI Engineer, Machine Learning/ ML Engineer
As part of our process after applying, you may receive an invitation from our AI Recruiter Avery for a short conversation that lets you share more about your background beyond your resume. For questions, contact
Our client is seeking an AI Product Engineer who is passionate about transforming cutting‑edge advances in generative AI into real‑world, production‑ready solutions. This is an opportunity to work at the intersection of engineering, architecture, and product innovation—rapidly turning ideas into intelligent applications, copilots, and AI‑driven tools that deliver measurable business impact. If you enjoy experimenting with emerging models, solving ambiguous problems, and shipping high‑value AI capabilities at speed, this role offers the chance to build systems that matter.
Work model:
Onsite 3 days per week in Downtown Los Angeles.
- Design and prototype AI‑powered applications, copilots, and RAG‑based workflows using modern LLM APIs, embeddings, and orchestration frameworks
- Build and deploy full‑stack AI features, including retrieval logic, prompt pipelines, evaluation systems, and monitoring infrastructure
- Own the end‑to‑end AI lifecycle, from experimentation and data preparation through production deployment and performance optimization
- Evaluate emerging models, tools, and frameworks to identify high‑impact opportunities and rapidly implement viable solutions
- Collaborate cross‑functionally to translate business needs into scalable AI features with clear success metrics and measurable outcomes
- 8+ years of software engineering or machine learning experience, including 3+ years focused on LLMs, NLP, or applied AI
- Strong proficiency in Python and hands‑on experience with LLM tooling such as Lang Chain/OpenAI SDKs, embeddings, RAG architectures, and vector databases
- Demonstrated success delivering production AI products or platforms used by real users
- Experience optimizing AI workflows for latency, cost, reliability, and performance, including experimentation and evaluation practices
- Bachelor’s degree required; advanced degree in computer science, data science, or a related field preferred
If you are excited to build intelligent, production‑grade AI systems that create meaningful impact, we encourage you to apply and be part of shaping the next generation of AI‑powered products.
Irvine Technology Corporation provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability.
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