L2 Engineer - Coach

Overview

Mid-level AI Engineer (L2) focused on building and deploying production-grade generative AI applications.

What you'll do

• Design, develop, and maintain scalable backend services using TypeScript/JavaScript.
• Build and operate AWS Serverless cloud-native applications using API Gateway, Lambda, DynamoDB, and VPC networking.
• Design and implement REST APIs and event-driven architectures.
• Develop RAG-based solutions using vector databases, embeddings, and LLM frameworks.
• Conduct LLM evaluations, benchmarking, and performance analysis.
• Implement AI observability, monitoring, and quality evaluation mechanisms.
• Build automated testing frameworks and CI/CD pipelines, including unit and integration testing.

What you'll need

• 3–6 years of professional software engineering experience.
• Strong expertise in TypeScript/JavaScript.
• Hands-on experience with AWS Serverless services (API Gateway, Lambda, DynamoDB, VPC).
• Experience designing and building distributed backend systems.
• Strong understanding of REST APIs, microservices, and event-driven architectures.
• Experience with WebSockets and real-time communication systems.
• Experience building and supporting production-grade GenAI applications.

Nice to have

• Experience with AI agent frameworks and agentic workflows.
• Experience with AI evaluation frameworks such as LangSmith, Ragas, or DeepEval (or equivalent).
• Familiarity with AI observability/monitoring platforms.
• Experience optimizing LLM cost, latency, and reliability.
• Exposure to multi-agent systems and advanced GenAI architectures.

Details

• Location: Pune.