AI Engineer

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.