FREE ACCESS
5,000–10,000 jobs/day
See all jobs on JobTailor
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
AI Engineer
qode.worldSenior AI Engineer designing and building scalable AI platforms leveraging LLMs for enterprise solutions. Ensuring production readiness and compliance within regulated environments.
Tech Stack
Tools & technologiesAWSAzureCloudGoogle Cloud PlatformMicroservicesOpen SourcePython
About the role
Key responsibilities & impact- Design and build scalable AI platforms supporting LLMs, RAG pipelines, and multi-model orchestration
- Develop reusable frameworks for prompt management, model routing, evaluation, and monitoring
- Implement LLMOps / MLOps pipelines for continuous integration, deployment, and lifecycle management
- Architect API-first AI services for enterprise-wide consumption
- Integrate and optimize models from providers like OpenAI, Anthropic, Google DeepMind, and open-source ecosystems
- Build multi-model strategies (closed + open source) for performance, cost, and governance
- Implement advanced techniques:
- - Retrieval-Augmented Generation (RAG)
- - Tool use / agents
- - Fine-tuning and embeddings
- - Context optimization and memory systems
- Design systems aligned with security, compliance, and data privacy requirements
- Implement guardrails, auditability, and explainability in AI workflows
- Enable safe AI deployment in distributed environments (e.g., advisor desktops, hybrid cloud)
- Build AI-driven use cases such as:
- - Intelligent document processing (e.g., wealth plans, research docs)
- - Advisor copilots and decision support systems
- - Knowledge assistants and enterprise search
- Partner with business teams to translate use cases into scalable AI solutions
- Develop evaluation frameworks for accuracy, hallucination detection, and model performance
- Optimize latency, throughput, and cost for production deployments
- Establish benchmarking and observability standards
Requirements
What you’ll need- 7–12+ years in software engineering, with 3+ years in AI/ML engineering or GenAI
- Strong proficiency in:
- - Python, APIs, microservices architecture
- LLM frameworks (LangChain, LlamaIndex, etc.)
- Hands-on experience with:
- - RAG pipelines, vector databases (Pinecone, FAISS, etc.)
- - Cloud platforms (AWS, Azure, GCP)
- Deep understanding of transformer models, LLM architecture, prompt engineering, and context handling
- Experience building production-grade AI systems (not just POCs)
- Preferred Qualifications:
- - Experience in financial services / wealth / capital markets
- - Familiarity with regulated AI deployments (compliance, DLP, governance)
- - Exposure to agentic AI systems and autonomous workflows
- - Experience with fine-tuning / LoRA / model optimization
- - Knowledge of data engineering pipelines and real-time architectures
Benefits
Comp & perks- 🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account qode.world Website LinkedIn All Job Openings 11 - 50 employees 🤖 Artificial Intelligence 👥 HR Tech 🎯 Recruiter Artificial Intelligence
- HR Tech
- Recruitment qode. world is a company that leverages artificial intelligence to revolutionize the recruiting process. Their platform allows users to find candidates by sourcing data from billions of data points worldwide and provides data-driven insights. Users can connect with candidates directly through the platform, conduct customized AI-led interviews, and get comprehensive assessments. The service also integrates easily with LinkedIn, enhancing the talent pool and facilitating direct communication with candidates listed there. Qode. world offers additional recruiting services to assist in hiring for niche or senior roles. They are praised for their effectiveness in streamlining the hiring process and delivering quick results. AI Engineer 🔥 39 minutes ago 🏢🏡 San Diego – Hybrid ⏰ Full Time 🟠 Senior 🔴 Lead 🤖 AI Engineer AWS Azure Cloud Google Cloud Platform Microservices Open Source Python Apply Now Find Hiring Managers Customize resume for this job Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
- Design and build scalable AI platforms supporting LLMs, RAG pipelines, and multi-model orchestration
- Develop reusable frameworks for prompt management, model routing, evaluation, and monitoring
- Implement LLMOps / MLOps pipelines for continuous integration, deployment, and lifecycle management
- Architect API-first AI services for enterprise-wide consumption
- Integrate and optimize models from providers like OpenAI, Anthropic, Google DeepMind, and open-source ecosystems
- Build multi-model strategies (closed + open source) for performance, cost, and governance
- Implement advanced techniques:
- - Retrieval-Augmented Generation (RAG)
- - Tool use / agents
- - Fine-tuning and embeddings
- - Context optimization and memory systems
- Design systems aligned with security, compliance, and data privacy requirements
- Implement guardrails, auditability, and explainability in AI workflows
- Enable safe AI deployment in distributed environments (e.g., advisor desktops, hybrid cloud)
- Build AI-driven use cases such as:
- - Intelligent document processing (e.g., wealth plans, research docs)
- - Advisor copilots and decision support systems
- - Knowledge assistants and enterprise search
- Partner with business teams to translate use cases into scalable AI solutions
- Develop evaluation frameworks for accuracy, hallucination detection, and model performance
- Optimize latency, throughput, and cost for production deployments
- Establish benchmarking and observability standards 🎯 Requirements
- 7–12+ years in software engineering, with 3+ years in AI/ML engineering or GenAI
- Strong proficiency in:
- - Python, APIs, microservices architecture
- LLM frameworks (LangChain, LlamaIndex, etc.)
- Hands-on experience with:
- - RAG pipelines, vector databases (Pinecone, FAISS, etc.)
- - Cloud platforms (AWS, Azure, GCP)
- Deep understanding of transformer models, LLM architecture, prompt engineering, and context handling
- Experience building production-grade AI systems (not just POCs)
- Preferred Qualifications:
- - Experience in financial services / wealth / capital markets
- - Familiarity with regulated AI deployments (compliance, DLP, governance)
- - Exposure to agentic AI systems and autonomous workflows
- - Experience with fine-tuning / LoRA / model optimization
- - Knowledge of data engineering pipelines and real-time architectures Apply Now 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score 🌐 Worldwide Built by Lior Neu-ner. I'd love to hear your feedback — Get in touch via DM or support@remoterocketship.com Search Search Jobs by country Search jobs by city Search jobs by job title Search entry-level jobs Search junior-level jobs Search senior-level jobs Search jobs by tech stack Search jobs by contract type Search remote internships Search remote part-time jobs Remote jobs Anywhere in the World Companies Hiring Anywhere in the World Companies Hiring Sales People Anywhere in the World Companies Hiring Software Engineers Anywhere in the World Resources Advice Tips for finding remote jobs Interview questions and answers Resume examples Cover letter examples Post a job Affiliates Privacy policy Terms of service Job board SEO course AI Apply Copilot OpenClaw job finder Jobs by Country Remote jobs anywhere in the world (Worldwide remote jobs) Remote jobs United States Remote jobs Australia Remote jobs Brazil Remote jobs Canada Remote jobs France Remote jobs Ireland Remote jobs Germany Remote jobs Netherlands Remote jobs Spain Remote jobs UK Popular Jobs Remote data analyst jobs Remote customer support jobs Remote executive assistant jobs Remote marketing jobs Remote product designer jobs Remote product manager jobs Remote project manager jobs Remote recruiter jobs Remote sales jobs Remote software engineer jobs Jobs by Type Remote full-time jobs Remote part-time jobs Remote contract jobs Remote internship jobs Remote entry-level jobs Remote jobs with no experience required Remote junior jobs (1-3 years of experience) Digital nomad jobs Remote jobs with no degree required Freelance remote jobs Temporary remote jobs Remote jobs hiring now Stay at home mom jobs
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonAPIsmicroservices architectureLLM frameworksRAG pipelinesvector databasescloud platformstransformer modelsprompt engineeringmodel optimization
Soft Skills
collaborationcommunicationproblem-solvingadaptabilityleadership