Software Engineer

📋 Description

• Design and develop production-grade Agentic AI solutions with LLMs.
• Implement and refine Prompt Engineering for reliable AI behavior.
• Build secure backend services and REST APIs in Python, integrating AI agents with microservices.
• Establish robust guardrails, including input validation, fallback strategies, and rate limiting.
• Deploy and operate AI services on AWS (EC2, S3, Lambda, RDS); Docker & Kubernetes.
• Ensure observability, monitoring, and reliability of AI-driven services in production.

🎯 Requirements

• 3–6 years of professional software engineering experience.
• Strong Python proficiency and RESTful API development.
• Hands-on experience building LLM-based or Agentic AI apps, including RAG and embeddings.
• Practical experience with Prompt Engineering and LLM optimization.
• Experience deploying and operating apps in AWS.
• AI guardrails, model validation, and production monitoring.

🎁 Benefits

• Innovation culture and growth opportunities.
• Growth from being named Fortune Best Workplaces in Technology and Bay Area.
• Collaborative, team-focused environment.
• Perks for work-life balance: flexible time off, wellness resources, team events.
• Inclusive, equal-opportunity culture.