Artificial intelligence engineer

5 days ago

Bengaluru, Karnataka, India Monk Mantra Full time

AI Engineer (Full Stack + Dev Ops + AI Integration)Experience Level: 1–2 yearsAbout the RoleWe are looking for a junior AI Engineer with 1–2 years of experience who is eager to grow in the space of AI-assisted development. The ideal candidate should have a Full Stack engineering background with strong Dev Ops exposure, practical experience with LLM-based applications, and familiarity with automation tools. This role is best suited for someone who has experimented with AI tools like Codex/Clause Code in their development work and wants to build scalable AI-powered applications.Key ResponsibilitiesAI-Assisted DevelopmentUse Clause Code, Codex, or other AI copilots while building applications.Implement RAG (Retrieval Augmented Generation) pipelines and work with MCP (Model Context Protocol) for AI integrations.Work with APIs of popular LLMs (Open AI, Anthropic, etc.) to integrate AI features into applications.Full Stack DevelopmentBuild and maintain web applications (frontend & backend).Work with databases, APIs, and cloud services to deliver end-to-end solutions.Contribute to creating responsive and AI-driven user experiences.Dev Ops & InfrastructureSupport deployment using CI/CD pipelines, Docker/Kubernetes, and cloud platforms (AWS/GCP/Azure).Learn and contribute to infrastructure automation (Terraform, Pulumi).Assist in monitoring and scaling applications.Automation & Workflow ToolsWork with n8n, Make.com, Zapier, or similar automation platforms.Build simple automation flows to integrate services and reduce manual tasks.Collaboration & LearningWork closely with senior engineers and product teams to deliver features.Document learnings, experiments, and best practices.Stay updated with emerging AI tools and frameworks.Required Skills & Qualifications1–2 years of experience in software development / full stack engineering.Basic working knowledge of Dev Ops practices (CI/CD, Docker, cloud deployments).Exposure to LLM-based development and tools such as Codex, Clause Code, or Git Hub Copilot.Familiarity with RAG pipelines, MCP integrations, and vector databases (Pinecone, FAISS, Weaviate).Hands-on experience with at least one automation tool (n8n, Make.com, Zapier).Strong problem-solving skills and ability to work independently with AI assistance.Nice to Have (Bonus)Exposure to Lang Chain, Llama Index, or other AI orchestration frameworks.Experience in deploying AI-powered applications in production.Contributions to AI/Dev Ops-related projects (personal or professional).What We Offer Opportunity to work on real-world AI-first projects with mentorship.Hands-on exposure to cutting-edge AI tools and automation workflows.A growth-oriented environment with scope to advance into AI Architect / Lead Engineer roles.Competitive salary package with performance-based growth.Fill the Below form as well for your resume to get screened: Jvk Hk Aus Ju Yt BQi8

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