Qureos Mentor

Remotee

We are seeking a highly skilled AI Engineer with deep expertise in Agentic AI, LLM deployment, and computer vision pipelines. You will be responsible for building intelligent multi-agent systems and deploying scalable AI video/image solutions on cloud-native infrastructures. This role focuses on agent orchestration, AI model deployment, and end-to-end video intelligence pipelines for our AI Video Tool.Responsibilities<ul><li>Design and deploy LLM and CV models using AWS Batch, Fargate, Lambda, SageMaker, and Bedrock for scalable and low-latency inference.</li><li>Implement multi-GPU distributed training and serverless AI inference architectures.</li><li>Orchestrate multi-agent workflows using LangChain, LangGraph, AutoGen, CrewAI, OpenAI Agents SDK, and Agent OS frameworks.</li><li>Develop advanced video and image processing pipelines (detection, tracking, generative AI).</li><li>Build intelligent AI agent communication protocols for distributed task automation.</li><li>Apply MLOps / LLMOps best practices for production-ready pipelines.</li></ul>Qualifications<ul><li>6+ years experience in AI/ML engineering with strong proficiency in Python.</li><li>Proven track record of cloud-native AI deployments (AWS Batch/Fargate/Lambda).</li><li>Expertise in Agent Orchestration frameworks (LangGraph, AutoGen, CrewAI, OpenAI Agents SDK).</li><li>Strong knowledge of computer vision &amp; generative AI (PyTorch, TensorFlow, CUDA).</li><li>Experience with vectordatabases (FAISS, Milvus, Weaviate), Advanced RAG/GraphRAG, and knowledge graphs.</li><li>Skilled in workflow automation, distributed inference, and AI systems architecture.</li><li>Must be able to communicate good English in both spoken and written as you will be collaborating with international team.</li></ul>Nice to Have<ul><li>Multi-cloud exposure (GCP Vertex AI, Azure AI).</li><li>Experience in Reinforcement Learning, context engineering, and advanced prompt design.</li><li>Domain experience in fintech, healthcare, aviation, or energy.</li></ul>Benefits<ul><li>High compensation starting from 200,000 INR per month</li><li>Premium Workstation</li><li>Great office amenities such as Game rooms, phone booth, meeting rooms, open pantry like free flow of snacks, coffee, tea, etc.</li><li>Relocation support to Madurai</li></ul>Job Type: Full-timePay: &#8377;200,000.00 - &#8377;220,000.00 per monthBenefits:<ul><li>Paid time off</li></ul>Application Question(s):<ul><li>Indicated your expected monthly salary in INR. Do not put negotiable.* (Required)</li><li>Please introduce yourself and your AI/ML skills that are not in your CV.</li><li>Do you have experience with Agentic AI, LLM deployment, and computer vision pipelines?* (Yes/No)</li><li>Please include your portfolio/github link (required)*</li><li>Will you be able to reliably commute or relocate to Madurai for this job?</li></ul>Education:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>AI/ML engineering with strong proficiency in Python: 5 years (Required)</li></ul>Language:<ul><li>English (Required)</li></ul>Work Location: In person

Senior AI Engineer (Agentic AI & Video Processing)

We are hiring an Workflow Automation Engineer to design, build, and maintain automation workflows at scale using n8n. You will connect APIs, build custom nodes, and ship reliable flows that save hours of manual work for international teams.What you will do<ul><li>Design end-to-end workflows in n8n for data sync, alerts, approvals, and back-office ops</li><li>Build custom n8n nodes using Node.js and TypeScript</li><li>Integrate third-party APIs using REST, GraphQL, OAuth2, API keys, and webhooks</li><li>Implement retries, rate limits, queuing, and error handling with alerts</li><li>Secure credentials, secrets, and environment variables</li><li>Deploy and operate n8n in Docker with Postgres. Set up backups, logging, and monitoring</li><li>Document flows and hand over playbooks. Train users and support go-live</li><li>Migrate automations from Zapier or Make to n8n where needed</li><li>Work with engineers, ops, and marketing to turn processes into stable automations</li></ul>Must-have skills<ul><li>2+ years building automations. 1+ year hands-on with n8n/Zapier/Make</li><li>Strong JavaScript and TypeScript</li><li>Solid API integration skills. REST, webhooks, OAuth2, pagination, and web security basics</li><li>Docker and Postgres basics. Git and CI/CD</li><li>Debugging and observability. Logs and metrics</li><li>Good English communication. Write clean docs and tickets</li></ul>Good-to-have<ul><li>Custom n8n nodes published or a public portfolio</li><li>Kubernetes, Helm, or cloud deploys</li><li>Redis or message queues</li><li>Prometheus and Grafana</li><li>Experience with any of: Slack, Google Workspace, Airtable, Notion, HubSpot, Salesforce, Twilio, WhatsApp providers, Stripe, Shopify</li><li>Basic Python for data tasks or scraping</li></ul>Tools and stack you will touchn8n, Node.js, TypeScript, REST and GraphQL, OAuth2, Webhooks, Docker, Postgres, Git, CI/CD, Prometheus, Grafana, Redis or queuesJob Type: Full-timePay: From &#8377;35,000.00 per monthBenefits:<ul><li>Paid time off</li></ul>Ability to commute/relocate:<ul><li>K. K. Nagar, Madurai, Tamil Nadu: Reliably commute or planning to relocate before starting work (Required)</li></ul>Application Question(s):<ul><li>Indicated your expected monthly salary in INR. Do not put negotiable. (Required)</li><li>Please include your portfolio/GitHub link as part of the evaluation*</li><li>Do you have experience using n8n? (Yes/No)</li></ul>Experience:<ul><li>APIs: 1 year (Required)</li></ul>Language:<ul><li>English (Required)</li></ul>Work Location: In person

Workflow Automation Engineer (n8n)

Join Remotee and explore 2   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Remotee

ABOUT_COMPANY

Senior AI Engineer (Agentic AI & Video Processing)

Workflow Automation Engineer (n8n)