科技職缺
職缺列表
Ai Engineer
AI Engineer role driving the design, architecture, and implementation of AI solutions and systems, collaborating with product and technical teams to integrate emerging technologies. Core stack spans GCP, LLMs, RAG, RESTful APIs, OCR, and Generative AI.
AI Engineer
Remote freelance AI Engineer building ML and GenAI-powered applications (chatbots, dialogue systems, LLM/agentic workflows). Day-to-day work spans Python/JS development, model lifecycle (training, deployment, REST scoring), and cloud (AWS/Azure/GCP).
Ai Engineer
As a freelance AI Engineer at Expertshub.ai, you will define AI strategy, architect scalable AI systems, and modernize services using ML, deep learning, NLP, and computer vision while working fully remote with agile teams.
Software Engineer
Onsite Software Engineer role focused on architecting complex high-scale systems, driving technical decisions, and mentoring engineers across teams. Stack includes C#/.NET, Angular, PostgreSQL, Azure, and microservices. 6-month freelance engagement based in Columbus Grove, OH.
Backend Software Engineer
Remote backend engineer who designs and ships scalable Python microservices and RESTful APIs that integrate with Blazor frontends on Azure cloud. Day-to-day work spans architecture design, code reviews, performance tuning, Docker-based containerization, and cross-team collaboration with frontend, DevOps, and product.
Senior Mobile Application
Senior mobile application developer leading Flutter-based iOS/Android projects end-to-end — from design and architecture through deployment to the App Store and Google Play — while mentoring junior developers and collaborating with cross-functional teams onsite in Mumbai.
Principal Architect
Principal Architect leading delivery strategy, governance, and architecture for IT projects, standardizing execution and mentoring senior staff. Core stack spans AWS/Azure/GCP, Java, SQL/NoSQL, REST/gRPC/GraphQL, AI/GenAI, and full SDLC oversight.
Architect
Principal Architect leading architectural initiatives across IT projects, translating business objectives into actionable plans and establishing reference architectures, governance, and delivery standards. Core stack spans AWS, Azure, GCP, Java, Go, React, Kubernetes, Docker, Terraform, and GenAI.
AI/ML Engineer
Build and deploy intelligent AI/ML applications using Snowflake Cortex, LLM APIs, and Python frameworks. Responsibilities include developing ML pipelines, RAG/agentic AI systems, vector search with FAISS, Streamlit apps, and real-time streaming data integrations.
Full Stack Engineer
Full Stack Engineer driving technical strategy and architecture for systems serving millions of users. Day-to-day work spans JavaScript/Node.js/React development, microservices, distributed systems design, and collaboration with C-level leadership on platform modernization.
Java Developer
Designs and develops scalable backend systems using Java and Spring Boot within a microservices architecture, building RESTful APIs and collaborating with cross-functional teams. Core stack: Java, Spring Boot, Microservices, REST APIs, Kafka/RabbitMQ, Docker, Kubernetes.
Full Stack Engineer
Remote Full Stack Engineer focused on backend-heavy work with C#/.NET on Google Cloud, building scalable cloud-native applications using containerized environments and GCP data services like Spanner and Bigtable.
Ai/ml Engineer
Freelance remote AI/ML Engineer designing and implementing machine learning algorithms, optimizing models for performance, and collaborating with cross-functional teams. Core stack includes statistical modeling, REST APIs, NLP, deep learning, and cloud ML platforms (AWS SageMaker, Azure AI).
MLOps / AI DevOps Engineer
Design and maintain scalable backend services and REST APIs (FastAPI, microservices) powering AI-driven applications, including MCP servers, real-time streaming via LiveKit, and orchestration with Airflow/Celery, while owning CI/CD pipelines.
QA Automation Engineer
Designs and executes automated test suites for AI models, REST APIs, and CI/CD pipelines using Python (PyTest/Unittest/Robot Framework), ensuring model validation, data integrity, and reliable deployments of AI-driven applications.