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EagleView • Bengaluru, Karnataka, India
Role & seniority: AI Automation Engineer I (entry-level) in Cloud Platform Engineering
Stack/tools: Microsoft Copilot Studio; Power Platform (Power Apps, Power Automate); AWS Bedrock; n8n; Python; Jenkins; AWS Cloud; Microsoft ecosystem
Develop, deploy, and maintain AI-enabled automation workflows and autonomous agents
Integrate generative AI and agent-based solutions (e.g., AWS Bedrock, Agent Core) into enterprise processes
Build and maintain event-driven and API-based automations (n8n), plus support CI/CD and deployment/testing in lower and production environments
BTech/BE in CS/engineering or related field; 1–2 years in software engineering, AI/workflow automation, or cloud development
Familiarity with low-code/no-code platforms (Power Platform, n8n); Python scripting
Basic AI concepts (LLMs, prompt-based interactions, API usage); REST/JSON; experience with REST APIs and event-driven Integrations
CI/CD (Jenkins) and version control (Git); strong problem-solving and quick learning; good cross-functional communication
Experience with AWS services (Bedrock or other AI services); other orchestration/integration tools
ReactJS/TypeScript; enterprise automation governance, security, and compliance awareness
Internship/project experience delivering automation/AI solutions; proactive “builder” mindset
Location & work type: Location and work type not specified; details not pr
EagleView, the leader in aerial imagery, is hiring an AI Automation Engineer I in Cloud Platform Engineering Department.
As an AI Automation Engineer I, you will be at the forefront of our digital transformation, bridging the gap between traditional software automation and generative AI. This entry-level role focuses on building, deploying, and maintaining intelligent workflows and autonomous agents across the enterprise, using a cutting-edge stack that includes Microsoft Copilot Studio, Power Platform, AWS Bedrock, and open-source orchestration tools like n8n and a robust DevOps toolchain in AWS Cloud and Microsoft echo system.
You will work closely with senior engineers to design solutions that reduce manual overhead and will contribute to accelerating business outcomes by enabling scalable, secure, and reusable AI-driven automations.
Support the development and maintenance of AI-enabled automation workflows using Microsoft Power Platform (Power Apps, Power Automate) and Copilot Studio. Assist in integrating generative AI and agent-based solutions leveraging AWS Bedrock and Agent Core into enterprise workflows. Build and enhance event-driven and API-based automations using n8n to connect systems and orchestrate processes. Develop and maintain lightweight automation services and scripts using Python to extend platform capabilities. Participate in CI/CD pipelines and automation initiatives using Jenkins and standard DevOps practices. Collaborate with senior engineers, product owners, and platform teams to translate business requirements into technical automation solutions. Support testing, deployment, monitoring, and troubleshooting of automation and AI workflows in lower and production environments.
Monitoring & Optimization: Track the performance of AI automations, troubleshooting issues in the Microsoft and AWS ecosystems to ensure reliability. Adhere to enterprise standards related to security, compliance, observability, and operational excellence. BTech or BE in computer science/engineering or related field or faculty. 1-2 years of foundational experience in software engineering, AI and workflow automation, or cloud-based development roles. Working knowledge of low-code / no-code platforms, preferably Microsoft Power Platform/n8n. Basic familiarity with AI or generative AI concepts, including LLM orchestration, prompt-based interactions and API consumption. Hands-on experience with Python for scripting or automation tasks. Exposure to CI/CD tools, preferably Jenkins, and version control systems such as Git. Understanding of REST APIs, JSON, and event-driven integrations. Strong problem-solving skills with the ability to learn new platforms and tools quickly. Effective communication skills and the ability to operate within cross-functional teams.
Preferred Experience
Exposure to AWS services, particularly Bedrock or other managed AI services. Familiarity with other additional workflow orchestration tools, or integration platforms. A proactive "builder" mindset with an eagerness to learn emerging AI technologies. Awareness of enterprise automation governance, security, and compliance considerations. Internship or project experience delivering automation or AI-assisted solutions in a corporate environment. Proven problem solving and critical thinking skills Experience with ReactJS, Typescript would be an added advantage