Generative AI Engineer

Mutex Corp is seeking a Senior AI Engineer to design, build, test, and deliver enterprise-grade AI applications. The role combines full-stack development with generative AI, LLMs, RAG, agentic workflows, and Harness-based CI/CD.

Responsibilities

• Independently architect and build end-to-end AI-powered applications, including UI, backend, APIs, data and AI layers
• Develop solutions using LLMs, Generative AI, RAG, AI agents, embeddings and vector search
• Build agentic workflows integrating enterprise applications, APIs, tools and data sources
• Develop scalable APIs, microservices and cloud-native applications
• Implement automated unit, integration and AI application testing
• Use AI coding tools such as GitHub Copilot, Claude Code, Cursor, Codex or equivalent to accelerate engineering
• Build and maintain CI pipelines and application services using Harness
• Work closely with platform engineering to ensure applications are secure, observable and production-ready

Skills

• Strong Python development experience
• Strong JavaScript/TypeScript and modern frontend experience such as React, Next.js or Angular
• Hands-on experience with AI frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel or equivalent
• Strong understanding of LLMs, RAG, agentic AI, prompt/context engineering and model integration
• Experience with OpenAI, Azure OpenAI, Anthropic, Gemini, AWS Bedrock or comparable model platforms
• Experience with SQL/NoSQL databases and vector databases
• Strong API, microservices, Docker and Kubernetes knowledge
• Strong hands-on Harness CI/CD, pipeline-as-code/YAML, services, environments, connectors and pipeline troubleshooting experience
• Experience with Harness Skills and AI-assisted software delivery strongly preferred

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