System Engineer (generative AI - Salesforce Tech), Coe Tech

Amazon Amazon · Big Tech · IN, KA, Bengaluru · Systems, Quality, & Security Engineering

AI Engineer L4 role focused on designing, developing, and implementing scalable AI/GenAI solutions, integrating LLM capabilities into enterprise workflows, and building integrations between AI platforms, AWS, and Salesforce. The role involves working with prompt engineering, embeddings, vector databases, and orchestration frameworks, with a focus on cloud-native solutions on AWS.

What you'd actually do

  1. Design and develop AI/GenAI-powered applications and intelligent workflows
  2. Build integrations between AI platforms, AWS services, and Salesforce ecosystems
  3. Develop scalable APIs, backend services, and automation frameworks for AI solutions
  4. Work with LLMs, prompt engineering, embeddings, vector databases, and orchestration frameworks
  5. Collaborate with cross-functional teams to identify AI-driven business opportunities

Skills

Required

  • 4+ years of systems development experience
  • Experience programming with at least one modern language such as Python, Ruby, Golang, Java, C++, C#, Rust
  • Experience with Linux/Unix

Nice to have

  • Experience with CI/CD pipelines build processes
  • Salesforce development expertise
  • AWS
  • Generative AI technologies
  • LLM-powered capabilities
  • prompt engineering
  • embeddings
  • vector databases
  • orchestration frameworks

Other signals

  • integrating LLM-powered capabilities into enterprise workflows
  • design, develop, and implement scalable AI/GenAI solutions
  • build integrations between AI platforms, AWS services, and Salesforce ecosystems