Automation engineer

2 weeks ago

Aurangabad, India Solo Work Inc Full time

Company Description Solo Work Inc. is pioneering an agentic operating system  where digital staff independently perform tasks such as reading, reasoning, coordinating, and executing work across modern business systems. Unlike traditional assistants or rule-based automation, Solo’s agents adapt to user intent , take action across interconnected workflows, learn how to use tools independently , and coordinate with each other to execute work end-to-end . These agents operate with contextual awareness, continuously improving how tasks are handled rather than following static instructions. Our platform is designed to reduce operational friction and redefine how work gets done by combining automation, AI, and reliable infrastructure. Join Solo Work Inc. and help shape the future of automation and digital teamwork. Role Description This is a full-time, remote role  (preference for candidates based in India ). As an Automation Engineer  at Solo Work Inc., you will design, build, deploy, and operate AI-powered automation systems that replace manual workflows with reliable, production-grade automation. Your day-to-day responsibilities will include developing complex automation workflows, integrating AI/LLMs into decision-making pipelines, managing deployments and infrastructure, troubleshooting production issues, and collaborating closely with product and engineering leadership to evolve the platform. This role sits at the intersection of automation, Dev Ops, and AI systems . Qualifications Strong experience designing and troubleshooting automation workflows  using tools such as n8n or similar platforms  (Make, Zapier, Temporal, custom orchestrators) Solid Dev Ops and deployment experience , including: Cloud infrastructure (AWS, GCP, or similar) Docker and containerized services CI/CD pipelines and environment management Backend development experience (Node.js, Python, or similar) Deep technical understanding of AI/LLMs , including: Prompting and context management API-based model integration Cost, latency, and reliability tradeoffs Ability to debug and operate production systems Strong problem-solving skills and systems thinking Comfortable working independently in a fast-moving, evolving environment Nice to have: Experience with Redis, queues, or event-driven architectures Deep experience with vector databases and AI-agent architectures Prior experience building internal automation platforms or AI-first systems

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