AI Engineer

Key Responsibilities

• Design, develop, and maintain software applications using C#, .NET Core, and related frameworks.
  

• Build and customize Salesforce applications using Apex, Lightning Web Components (LWC), and Flows.
  

• Implement and maintain integrations between Salesforce and external systems (REST APIs, middleware, or custom .NET services).
  

• Write clean, efficient, and maintainable code aligned with KLAS’s development standards.
  

• Participate in code reviews, sprint planning, and technical design discussions.
  

• Collaborate with product owners, QA, and other developers to ensure high-quality, on-time deliverables.
  

• Troubleshoot and resolve bugs, data issues, and integration challenges.
  

• Contribute to CI/CD pipelines, Git workflows, and other DevOps processes.
  

• Stay up to date with evolving tools and frameworks relevant to KLAS’s technology stack.
  

  
  
  
  
  
  

Requirements

• Experience in ML/NLP/LLMs; strong command of Python (FastAPI, async) and solid software engineering fundamentals.
  

• Hands-on experience with vector databases (Qdrant preferred) and embedding pipelines.
  

• Experience with RAG/agents, prompt engineering, model/tool selection, and evaluation.
  

• Comfortable working on GCP (Cloud Run, Cloud Storage, BigQuery, Secret Manager).
  

• Deep knowledge of LLM families and their SDKs/APIs: OpenAI, Anthropic, Gemini, Llama…
  

• Focus on observability and reliability; testing in the loop, CI/CD, and basic incident management.
  

• Nice to have: small-model fine-tuning/LoRA, speech (ASR/TTS), agent frameworks, LangChain.