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Google Cloud AI DevOps Engineer
Design and maintain GCP-based AI DevOps pipelines using Terraform, GKE, and Cloud Build to automate deployments and scale AI workloads for HCLTech clients.
Senior AI & Data Engineer
Build and operate LLM-driven agentic workflows and data pipelines for AutoGrab’s automotive intelligence platform, using Python, GCP, and production-grade AI systems.
Data Engineer
Build and maintain data pipelines that move user event data from Adobe into Google Cloud, ensuring reliable reporting and governance for a large Australian retailer.
Data Scientist - TAX Free
Build and deploy AI/ML models to turn data into insights and drive business decisions using Python, SQL, and cloud platforms.
AI/ML Architect
Design and deploy end-to-end AI/ML and Generative AI systems using Snowflake Cortex, vector search, and agentic workflows, integrating with major clouds and enterprise apps.
AI Software Engineer
Build and own a full-stack AI platform for autonomous building intelligence, integrating LLMs and streaming APIs with enterprise-grade security and multi-tenancy on AWS.
Senior Technical Software Engineer - AI Platforms
Build and integrate secure, scalable AI services (LLMs, SLMs, agentic systems) using AWS/Azure/GCP, focusing on production-ready patterns, responsible AI guardrails, and observability for Emirates' global aviation platforms.
Senior Technical Software Engineer - AI Platforms
Build and integrate secure, scalable AI services (LLMs, SLMs, agentic systems) using AWS/Azure/GCP, focusing on production-ready patterns, responsible AI guardrails, and observability for Emirates' global aviation platforms.
AI Engineer Backend
Build and scale the backend for an AI assistant used by clinicians; focus on FastAPI services, multi-agent orchestration, and RAG pipelines in Python.
Python/AI Full Stack Developer
Hi, Please find the job description below Role: Python/AI Full Stack Developer Location: Remote Job Description • The Senior Full-Stack Engineer is a hands-on, deeply technical position responsible for designing,…
Senior Software Engineer (AI/ML)
Build and scale AI agents and ML pipelines using Python, PyTorch/TensorFlow, and frameworks like LangChain; integrate LLMs, vector DBs, and cloud-native systems.
AI Architect – GenAI & ML
Design and deploy production-grade GenAI and ML solutions using Azure OpenAI, RAG pipelines, and agentic frameworks while ensuring scalability, security, and responsible AI practices.
AI Architect
Design and deploy enterprise-grade AI systems using LLMs, RAG, and Azure AI services, leading GenAI initiatives from concept to production.
Principal/Staff Machine Learning Engineer (Generative AI + LLM)
Lead the design and deployment of generative AI models and LLMs, optimizing performance and scaling solutions on cloud platforms while mentoring ML teams.
Senior GCP DevOps Engineer - Secure CI/CD & Vertex AI
Designs secure CI/CD pipelines and hardens GCP infrastructure while operationalizing Vertex AI workloads in multi-tenant cloud environments.
Senior GCP DevOps Engineer - Remote, Secure CI/CD Leader
Designs secure CI/CD pipelines and manages GKE environments using Terraform, Vertex AI, and GCP security tools for multi-tenant, cross-cloud setups.
Data & ML Infrastructure Engineer
Build and maintain a cloud-agnostic data and ML platform for scalable, reproducible model training and deployment across multiple products, ensuring reliability, cost-efficiency, and EU compliance.
Senior Backend Engineer (.NET & AI/ML)
Build and maintain .NET backend services and AI/ML features for a real-estate platform, including gRPC APIs, vector search, and LLM-powered personalization integrated with SQL Server, MongoDB, and Elasticsearch.
Lead Full Stack Developer
Lead a multi-tier AI platform (React frontend, Spring Boot backend, FastAPI agentic services) while mentoring engineers and owning architecture, reliability, and vendor-neutral patterns.
Lead Full Stack Developer
Lead a multi-tier AI platform (React frontend, Spring Boot backend, FastAPI agentic services) for an adtech agency, owning architecture, mentoring engineers, and driving LLM integrations while ensuring reliability and scalability.