Build and own production AI-powered products across the frontend, backend, data, and cloud stack. Design multi-agent systems and RAG pipelines, orchestrate AI workflows, and deploy reliable, scalable features. Responsibilities include model serving, latency and cost optimization, prompt engineering, model evaluation, cloud infrastructure, and end-to-end product development using React, Node.js, PostgreSQL, and major cloud platforms.
This is a remote position.
We are hiring a Fullstack Software Engineer with deep experience building AI-powered products in production. This is a high-ownership role at the intersection of fullstack engineering, AI systems design, and product thinking. You will not simply integrate APIs. You will architect multi-agent systems, design RAG pipelines, and take AI features from concept to production with full accountability for system reliability, performance, and cost.
You will work across the entire stack (frontend, backend, data, and cloud infrastructure) and operate as a product-minded engineer who drives outcomes, not just ships code. You will collaborate directly with Product Owners, Subject Matter Experts, and cross-functional teams to translate ambiguous requirements into production-ready solutions.
If you thrive in ambiguity, care deeply about outcomes over output, and want to shape how AI is built into real products, this role is for you.
Responsibilities
Fullstack Product Development
- Own features end-to-end: from UI (React/Next.js) through API design (Node.js/NestJS) to cloud deployment.
- Partner with Product Owners and Subject Matter Experts to translate requirements into shipped solutions.
- Contribute product ideas that improve usability, performance, and business impact.
AI Engineering and Systems Design
- Design and build multi-agentic systems where autonomous AI agents collaborate to solve complex, real-world task
- Architect and implement RAG pipelines using vector databases and LLM orchestration frameworks.
- Take AI-powered features from prototype to production, owning model serving, latency optimization, cost management, and system reliability.
- Work with AI SDK, LangGraph/LangChain, CrewAI, or equivalent tools to build and orchestrate AI workflows.
Cloud Infrastructure and Deployment
- Design, deploy, and manage scalable systems on cloud platforms (AWS, GCP, or Azure).
- Apply cloud-agnostic thinking: understand core concepts regardless of provider.
Requirements
Minimum Qualifications:
- 3-5+ years of professional experience building production applications with React/Next.js, Node.js/NestJS, and PostgreSQL.
- Hands-on experience with at least one of: AI SDK (Vercel), LangGraph/LangChain, or CrewAI.
- Proven track record designing, orchestrating, and deploying multi-agent AI systems in production.
- Working experience with vector databases (Pinecone, Weaviate, pgvector, or similar) and RAG pipeline design.
- Strong understanding of AI deployment and system design: model serving, latency optimization, cost management, and production reliability.
- Experience with prompt engineering, model selection, and evaluation.
- Solid understanding of cloud concepts and services across AWS, GCP, or Azure.
- Experience deploying and managing production workloads in at least one major cloud platform.
Similar Jobs
Artificial Intelligence • Cloud • Payments • Software • Business Intelligence • Generative AI • Automation
Drive new-logo growth by prospecting, cold calling, and closing enterprise SaaS and cloud solution sales to independent insurance agencies. Build consultative business plans with Solution Consultants, follow up on qualified leads, identify new opportunities, represent the company at industry events, and maintain customer relationships to generate referrals. The role is remote from Sacramento with up to 50% territory travel.
Top Skills:
AICloud SoftwareCRMSaaSSalesforce
Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
Handle inbound calls and warm leads, consult customers on insurance needs, recommend appropriate Property and Casualty products and coverages, and convert prospects into policyholders. Represent the Liberty Mutual brand while delivering customer-focused service and meeting sales goals. Complete paid training and licensing requirements, work a specified weekday and weekend schedule, and maintain a compliant remote workspace with reliable wired high-speed internet.
Top Skills:
Cable InternetDslFiber InternetPcWired High-Speed Internet
An Hour Ago
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Analyzes autonomous-vehicle telemetry, time-series signals, incidents, software releases, and operational data to investigate safety issues and root causes. Integrates diverse data sources into analysis-ready datasets, validates data quality, applies engineering and signal-processing methods, and delivers rigorous findings for safety assurance and operational decisions. The role also develops reusable detection methods, metrics, pipelines, and analytical tooling while collaborating across engineering, operations, safety, human factors, and data teams.
Top Skills:
BigQueryC++Ci/CdCloud Data PlatformsDistributed ProcessingDockerGitKubernetesPythonRobot Operating System (Ros)Signal ProcessingSQLTime-Series Analysis
What you need to know about the Los Angeles Tech Scene
Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.
Key Facts About Los Angeles Tech
- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
- Key Industries: Artificial intelligence, adtech, media, software, game development
- Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering
