Artificial Intelligence Engineer

Role: AI Platform Engineer

1. 3yrs of exp mandate in AI
2. Budget - 15LPA
3. Hybrid Mode - Mon to Thursday(Mandatory)
4. Work Location - Noida

This position works on AI capabilities with technologies including Python, FastAPI,

LangChain, LLMs, and RAG.

Responsibilities

Our Software Engineers work closely with Product Managers, Test Engineers and others to

do the following:

 Create product led AI using Python, celery, thread pools, Docker, FastAPI,

LangChain, LangGraph, Bedrock, Guardrails, and other technologies

 Help define, create and maintain the data structures required to feed these services

including SQL, document stores, key-value, and RAG databases

 Participate in design reviews and technical discussions, contributing informed

opinions

 Ensure code quality through automated testing and code reviews

 Design, build and deliver solutions that will meet business objectives and customer

needs

 Help define and execute standards and practices that enable our development teams

to work effectively as possible

 Contribute to an environment that attracts, empowers and retains technical people

Applying candidates must have each of the following:

 3+ Years of Python development experience

 Developed AI using Python, Docker, and Git

 Basic prompt engineering

 Delivered production ready code using Python

 Experienced with software development lifecycle, git-based workflows, and code

reviews

 Comfortable with continuous deployment

 Understanding of maintaining customer trust with responsible AI solutions

 Collaboration with business users to gather/document requirements

 Ability to communicate complex technical concepts

 Basic understanding of developing right sized micro-services

Strong candidates would have experience with some of the following:

 Deep Python knowledge

 Experience with AI development in production such as Lang Chain, Lang Graph,

LLMs, SageMaker, Pytorch, Tensorflow

 Built agents using Lang Chain / Graph

 RAG creation and maintenance

 SQL and no SQL databases such as RDS/Aurora, Redis, Dynamo, S3

 Experience with queues such as Kafka.

 Experience streaming API responses using SSE