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🤖 15+ AI Agents working for you. Find jobs, score and update resumes, cover letter, interview questions, missing keywords, and lots more.
EagleView • Bengaluru, Karnataka, India
Role & seniority: AI Automation Engineer I (entry-level) in Cloud Platform Engineering
Stack/tools: Microsoft Copilot Studio; Microsoft Power Platform (Power Apps, Power Automate); AWS Bedrock; n8n; Python; Jenkins; AWS Cloud and Microsoft ecosystem; REST/JSON; Git
Build, deploy, and maintain AI-enabled automation workflows and autonomous agents
Integrate generative AI and agent-based solutions into enterprise workflows; develop event-driven and API-based automations
Participate in CI/CD pipelines, testing, deployment, monitoring, and troubleshooting; ensure security, compliance, and observability
BTech/BE in CS/engineering or related field; 1–2 years in software engineering, AI/workflow automation, or cloud development
Proficiency with Python; experience with low-code/no-code platforms (Power Platform, n8n)
Familiarity with REST APIs, JSON, event-driven integrations; basic knowledge of CI/CD (Jenkins) and Git
Strong problem-solving and cross-functional collaboration abilities
Experience with AWS Bedrock or other managed AI services; additional workflow orchestration/integration tools
ReactJS/TypeScript experience; awareness of enterprise automation governance, security, and compliance
Proactive, builder mindset; internship/project work delivering automation/AI solutions
Location & work type: Location not specified; work type not specified in job description
About Us
Mixing technology, data, and first-in-class innovation, EagleView® is not only leading the property data analytics market, but also changing lives along the way. Come join us and make great things happen! EagleView is a fast-growing technology company driving game-changing innovation in multibillion-dollar markets such as property insurance, energy, construction, and government. Leveraging 20+ years of the most advanced aerial imaging technology in the world, along with the most recent advances in machine learning and AI, EagleView is fundamentally transforming how our customers do business.
Overview
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.
Responsibilities
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.
Qualifications
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.
EEO Statement
This job description is not an exclusive or exhaustive list of all job functions that a workforce member in this position may be asked to perform. Duties and responsibilities can be changed, expanded, reduced, or delegated by management to meet the business needs of the company. The compensation offered to the successful candidate will be based on a variety of factors, including but not limited to, the candidate’s work experience, education and licenses, work-related training, key skills, the core duties of the role and its associated responsibilities, additional benefits offered, and the location where the work will be performed.