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Design, build, and operationalize LLM-powered applications, RAG systems, and intelligent agents for automotive industry use cases, spanning full-stack development from prototype to production using Python, React, cloud AI platforms, and vector databases.
The Principal AI Software Engineer will architect enterprise-grade AI solutions, integrating LLMs, RAG, and agent workflows into high-availability systems. The role involves leading cross-functional teams, setting technical standards for AI development, and optimizing performance and costs across cloud-based infrastructure.
The Technical Architect will design and implement scalable, fault-tolerant AI systems on Google Cloud, bridging the gap between research and production. The role involves leading MLOps lifecycles, defining compute strategies for AI workloads, and mentoring teams to build resilient, cloud-native architectures.
$12,500 Start up Bonus! Cost Center 262 IP Pine Scheduled Weekly Hours 24 Work Shift Evening (United States of America) Shift & Status Pinecone Unit "NDD" Part Time, 24 Hours Weekly 2nd Shift, Evenings…
Builds and scales GenAI full-stack applications (RAG, intelligent agents) for clients, bridging backend (microservices) and frontend (React) while managing cloud infrastructure, CI/CD, and LLM monitoring.
Act as MinIO’s technical ambassador to Fortune 500 C-suites, designing AI-ready data architectures and evangelizing high-performance object storage for generative AI and analytics workloads.
Build and improve a data warehouse system, troubleshoot issues, and collaborate with business teams to translate requirements into technical solutions using Scala/Java/Rust/Python and DevOps tools.
Who we are: Geotab ® is a global leader in IoT and connected transportation and certified “Great Place to Work™.” We are a company of diverse and talented individuals who work together to help businesses grow and…
Designs and builds scalable, secure AI/ML platforms for healthcare, focusing on agentic systems, RAG pipelines, and multi-modal AI applications with guardrails and observability. Leads architectural standards, cloud-native infrastructure (Azure/AWS), and AI governance for enterprise-grade solutions.
Builds AI-powered full-stack applications by integrating machine learning models with front-end interfaces and APIs, focusing on seamless user experiences and scalable back-end systems.
Lead AI-driven full-stack development for a product company, owning backend (Node.js, Python), frontend (React/Next.js), and AI integrations (LLMs, RAG pipelines). Architect scalable systems, mentor engineers, and champion AI coding tools.
Build and ship full stack web apps using modern JavaScript/TypeScript and backend stacks, while integrating AI features and leveraging AI coding assistants daily.
This senior fullstack role involves building and scaling web applications and production-grade LLM/RAG solutions using Node.js and Vue.js. The developer will own end-to-end architecture, including API design, RAG pipeline development, and AI workflow orchestration.
The AI Engineer will develop LLM-powered agents and RAG pipelines to automate workflows and build conversational interfaces for PureFacts' financial SaaS platform. The role focuses on integrating AI models, ensuring system reliability, and collaborating with cross-functional teams to deliver production-ready AI copilots.
AI systems Build, fine-tune, and evaluate LLM systems for domain-specific tasks (QLoRA / PEFT on open-weight models such as Llama-3 and Mistral). Design reproducible evaluation harnesses and A/B test frameworks with…
The AWS AI Agent Engineer will design, build, and operate enterprise-grade AI agents and multi-agent workflows using Amazon Bedrock and AWS serverless technologies. The role focuses on implementing RAG, orchestration, and observability to ensure reliable, secure, and cost-effective production AI applications.
Salary: £40,000 - 55,000 per year Requirements: Experience in architecting and solutioning in Gen AI, Agentic AI, classic ML, and automation space. Good understanding of Prompt engineering, RAG pipelines,…
This role is for a full-stack developer to build and maintain web applications while integrating AI and Generative AI capabilities. The developer will use AI-assisted coding tools daily to accelerate development and deliver enterprise-grade AI solutions.
Greenfield Senior Data Engineer building an analytical data platform on cloud infrastructure, designing ELT pipelines with dbt/Postgres, and creating AI data layers including embeddings, vector stores, and RAG plumbing for internal and customer-facing LLM agents.
Design, build, and maintain automated test frameworks for web, API, and mobile apps using Selenium, Playwright, Cypress, and SQL, integrating into CI/CD pipelines while leveraging AI tools to accelerate testing.
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