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Engineer

Location

Bengaluru, Karnataka, India

JobType

full-time

About the job

Info This job is sourced from a job board

About the role

Anko GCC

Website: ankogcc.com
Job details:

Company Description

The Kmart Group, comprising Kmart and Target, was formed as the Department Stores division in February 2016 and rebranded to the Kmart Group in November 2018. The division operates 520 stores across Australia and New Zealand and employs more than 46,000 team members. Catch, an online marketplace, also formed part of the group in 2019. KAS Group Asia employs 700 + team members across different parts of Asia and play an active role in technology, innovation, vendor selection, price negotiations and supplier management.


Role Description

This is a full-time Engineer role at Anko, located on-site in Bengaluru. The Engineer will design, develop, and implement solutions to support the technological and operational objectives of the organization. The responsibilities include collaborating with cross-functional teams, analyzing technical challenges, optimizing systems for efficiency, and maintaining the performance and security of applications and tools used in business operations.


Qualifications

Bachelor's degree in Computer Science or equivalent with 3+ years of hands-on experience in applied machine learning, NLP, or AI system development, particularly with LLMs and agentic frameworks.

Design and deploy cutting-edge AI agents using our orchestration layer built on next-gen agentic stacks

  • Build and maintain scalable AI/ML pipelines, model serving infrastructure, and API integrations using RESTful and event-driven architectures


Technical Skills Required:

Python, Agentic AI Agents,

LangChain, LangGraph, Strands Frameworks, Google ADK

NLP, PyTorch, TensorFlow, Applied ML(Good to have)

RESTful APIs, Docker, Terraform, CI/CD, GIT

DevOps and Cloud (AWS, GCP)


Click on Apply to know more.

Skills

LangChain
Python
AWS
API
cross-functional
DevOps
Docker
GCP
Git
machine learning
NLP
TensorFlow
Terraform
Pytorch
RESTful