Infosys_GenAI Engineer_5+yrs_ PAN INDIA

Glauben Technologies; Dadri, Pune District, Bengaluru; Sur place; INR 1 200 000 - 2 200 000; Plein temps

Résumé du poste

Glauben Technologies is seeking a GenAI-focused software engineer in India to design and deploy scalable AI solutions. You will build modular Python applications, integrate AI models with product teams, and maintain production-grade systems on AWS.

Strong emphasis on security, performance, and modernization of AI workflows. Ideal candidates have hands-on experience with LangChain, LangGraph, and cloud-native architectures, plus CI/CD and container orchestration skills.

Qualifications

• Proficient in Python with FastAPI and asynchronous programming.
• Experience with parallel processing using multiprocessing, concurrent.futures or dask.
• Hands-on with GenAI frameworks LangChain and LangGraph; strong Prompt Engineering.
• Proficient in AWS cloud services and cloud-native architecture.
• Familiar with CI/CD, Docker, and Kubernetes.
• Experience with code quality tools for linting, formatting, testing and security.

Responsabilités

• Design and implement GenAI solutions using modern frameworks.
• Develop scalable Python applications for deploying generative AI solutions.
• Build and manage AWS cloud infrastructure (S3, Lambda, DynamoDB, ECS, EKS).
• Collaborate with data scientists, ML engineers and product teams to integrate AI models.
• Ensure production-grade scalability, reliability, and security of GenAI systems.
• Monitor system performance with AWS CloudWatch and optimize accordingly.
• Stay updated with GenAI, cloud computing, MLOps and DevOps trends.
• Contribute to code reviews, documentation and Python development best practices.

Connaissances

Python proficiency

FastAPI

asyncio

parallel processing

GenAI frameworks

AWS cloud

Docker

Kubernetes

CI/CD

code quality tools

Outils

LangChain

LangGraph

Prompt Engineering

AWS services

Cloud-native

Terraform

Pylint

Black

Mypy

PyTest

Description du poste

Key Responsibilities:

• Design and implement GenAI solutions using cutting-edge frameworks (e.g. Transformers, LangChain, LangGraph, AWS Bedrock, Agentcore).


• Develop scalable and modular Python applications for deploying generative AI solutions.


• Build and manage cloud infrastructure using AWS services (S3, Lambda, DynamoDB, ECS, EKS).


• Collaborate with data scientists, ML engineers, and product teams to integrate AI models into domain-specific applications.


• Ensure production-grade scalability, reliability, and security of GenAI systems.


• Monitor and optimize system performance using tools like AWS CloudWatch.


• Stay updated with advancements in GenAI, cloud computing, MLOps, and DevOps.


• Contribute to code reviews, documentation, and Python development best practices.

Required Skills

• :Strong Python proficiency with experience in FastAPI, asyncio, modular application design, and parallel processing


• .Familiarity with Python parallel processing modules such as multiprocessing, concurrent.futures, dask for efficient parallel and distributed computing


• .Hands-on experience with GenAI frameworks such as LangChain, LangGraph, and Prompt Engineering


• .Proficient in AWS cloud services and cloud-native architecture


• .Familiar with CI/CD pipelines, Docker, and Kubernetes


• .Familiarity with code quality tools such as pylint, black, isort, mypy, pytest, SonarQube, SonarLint, and Black Duck for linting, formatting, testing, static analysis, and open-source security complianc


• eSolid understanding of security best practices in cloud and AI deployments


• .Excellent analytical and communication skills


• .Should be able to network within GenAI team and with other teams as enablement tribe