Software Engineer Remote- und Homeoffice Jobs ∙ Seite 378
10000 Remote- und Homeoffice-Jobs online
Managed Services Cloud Engineer - FinOps
Thinkahead · United States, Vereinigte Staaten Von Amerika · Remote
Senior Software Engineer, Autonomy Behaviors (R4587)
Shieldai · Boston, Vereinigte Staaten Von Amerika · On-site
Software Engineer II, Autonomy Behaviors (R4587)
Shieldai · Boston, Vereinigte Staaten Von Amerika · On-site
Senior Embedded Systems Engineer
Loadsmart · Chicago / Remote, Vereinigte Staaten Von Amerika · Remote
Professional Wastewater Engineer #2920.29
Wadetrim · New York, Vereinigte Staaten Von Amerika · Hybrid
Wet Weather / Stormwater Design Engineer #2919.29
Wadetrim · New York, Vereinigte Staaten Von Amerika · Hybrid
Principal Cloud Hosted Services Engineer
Magnopus · Los Angeles, Vereinigte Staaten Von Amerika · Hybrid
Staff Android Systems Engineer
Greenlight · Atlanta (Remote Friendly), Vereinigte Staaten Von Amerika · Remote
Sr. AI Automation Engineer
Firstup · Remote - US, Vereinigte Staaten Von Amerika · Remote
Description
Responsibilities
Identify high-friction workflows and replace them with AI-driven automation systems
Design, build, and deploy AI agents and automation pipelines across business functions
Redesign workflows to transition from human-assisted to fully automated execution where viable
Integrate AI systems with internal platforms such as CRM, analytics, and support tools
Develop RAG-based knowledge systems and internal copilots to improve access to information
Rapidly prototype, test, and deploy production-grade AI solutions
Define KPIs and measure the impact of automation and AI initiatives
Optimize systems for performance, cost efficiency, and scalability
Minimum Qualifications
Bachelor’s degree in computer science, engineering, or related field, or equivalent practical experience
5+ years of experience deploying AI/ML systems in production environments
Strong experience with LLMs, RAG architectures, vector databases, and agent frameworks
Proficiency in Python or similar programming languages and strong software engineering fundamentals (APIs, system design, scalability)
Experience integrating AI systems into enterprise tools and workflows
Familiarity with automation/orchestration tools and evaluation frameworks
Strong analytical and problem-solving skills with a metrics-driven mindset
Ability to operate with high execution velocity from prototype to production