科技職缺
職缺列表
Sr. Applied AI Engineer - Wellness
Builds and deploys ML pipelines, AI agents, and retrieval pipelines for a wellness-focused AI company. Designs production databases and caching layers, integrates with CRM systems, and collaborates with product and engineering teams.
AI Engineer
Build production-ready GenAI solutions and multi-agent AI workflows as an AI Engineer, developing Python backends, React frontends, RAG pipelines, and integrating with Azure services. Responsibilities span MLOps/LLMOps, observability, governance, and performance optimization.
Python AI Engineer
Build AI-powered products end-to-end with Python, designing LLM workflows, AI agents, and multimodal solutions, plus analytics platforms that fuse geospatial, IoT, and image data into production dashboards and automation tools.
Senior Artificial Intelligence/Machine Learning Engineer
Builds LLM-powered agents and workflows with production guardrails, instruments cost and quality telemetry, integrates with data sources, and writes and runs LLM evaluations in a senior AI/ML engineering role.
GenAI Engineer
Build RAG pipelines and agentic/multi-agent AI systems while developing Python applications for generative AI. Work spans embeddings, indexing, chunking, reranking, GPU optimization, and integrating AI features into broader systems.
Architect – Agentic AI Engineering
Architect for agentic AI systems: designs Python backend services, builds multi-step AI agent workflows with LLMs, deploys on AWS/Azure, and refines AI prototypes into scalable production systems with prompt engineering, observability, and documented APIs.
🇺🇸 AI/ML Engineer
Remote AI/ML Engineer building data pipelines, ETL, and metadata/ontology catalogs; designs and deploys AI/ML models and multi-agent systems, creates REST APIs and SDK integrations, and ships solutions in secure cloud environments following DevOps best practices.
GenAI- Senior Software Engineer
Builds GenAI and RAG-based solutions, reusable AI engineering frameworks, agents and copilots, autonomous workflows, semantic search, embeddings, and API/database integrations. Packages, deploys, and monitors cloud AI applications using AI-assisted development tools.
Salesforce Developer – Agentforce & AI Solutions
Design and develop AI-powered Salesforce solutions using Agentforce, Apex, LWC, Flows, and SOQL APIs. Day-to-day work focuses on building customer service and membership workflows, integrating with Data Cloud and external platforms, and running unit, integration, and UAT cycles.
AI Architect
Design and architect TTEC's AI platform and agent infrastructure, including MCP server integrations, governance standards, and human-in-the-loop workflows.
Software Engineer, UX, DeepMind
UX-focused software engineer at Google DeepMind building dynamic workflows, collaborative tools, and AI-driven user experiences via front-end and back-end development, including prompt engineering and end-to-end code ownership.
AI Architect, Partner Engineering
Advise CTOs and CPOs on scalability while co-building autonomous agent systems with partners and implementing AI architectures on Google Cloud services like BigQuery, AlloyDB, and VPC-SC.
AI Engineer bei HUB.KI (all genders)
Build and develop an AI agent platform, including RAG systems and agentic AI architectures. Core work involves orchestrating large language models, implementing tool calling integrations, and owning the full end-to-end development cycle including testing and documentation.
Business Support Engineer - AdTech
- Analyze trends and recommend improvements - Automate troubleshooting with AI tools - Build deploy and optimize AI solutions - Collaborate with Platform and Infrastructure teams to resolve issues - Communicate AI…
Senior AI Solution Consultant
Senior consultant leading AI solution delivery: aligns stakeholders, defines scope and measurable success criteria, owns use cases, facilitates high-stakes workshops, creates playbooks and templates, prototypes solutions, and enables customer teams.
AI/ML Solutions Engineer
BankUnited is hiring an AI/ML Solutions Engineer to design and build AI/ML data pipelines, deploy and fine-tune large language models, develop model governance and benchmarking frameworks, and ensure regulatory compliance for model risk management.
Data Scientist
- Build machine learning and deep learning solutions - Build retrieval quality and knowledge retrieval systems - Control hallucinations in generative AI - Define evaluation standards and guardrails - Develop text…
Principal Machine Learning Engineer
- Build production agents with enterprise grounded reasoning - Design and ship multi agent systems - Develop RAG pipelines and retrieval grounding - Drive scalable and robust architectures for large scale deployment -…