Gen Ai Developer/Module lead

Areas

Evaluation Level

Competency Level

Remarks

Gen AI- RAG

Resume Screen & Interview

Must have

At least Trained/POC execution, with a Production experience , it will be a plus

They need to understand the basics like LLM, Inference APIs, Prompt Engineering, Embedding, how to access LLMs

Distributed Systems like Kafka & Microservices

Resume Screen & Interview

Must have

Can be Kafka, Message Queues, AWS Kinesis, Azure Eventhub - any of the distributed systems

Complete understanding of how to do end to end i.e, development and deployment works, including being able to understand what it takes to be in production (i.e, pushing code to production), being able to debug any production issues (using observability tools like AppD/NewRelic/Azure Monitor/Datadog etc.,)

Python/Java/.NET

Resume Screen & Interview

Must have

Any programming Language - good hold on it, there will be coding questions , logical ones, and optimization ones - we can ask them to be looking at something like leetcode

Cloud Platform

Resume Screen & Interview

Any

Preferably Azure, but can be any cloud

DevOps

Resume Screen & Interview

Must Have (at least have a good understanding of the process)

Need to know how to push code as a developer to production (stages in development, rigor in testing, security aspects of it), including Static Code Analysis, SAST/DAST/RAST

Containerization - Docker+K8s

Design

Resume Screen & Interview

Must have

Ability to understand and design (low level) a functional module with principles / patterns of coding

Databases

Resume Screen & Interview

Must have

At least basics of DBs and SQL (slight query optimization techniques, at least conceptually aware)

Agentic AI

Resume Screen & Interview

Nice to have