AI Development Platform Engineer

Genpact; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Genpact in Bengaluru is seeking a Senior Platform Engineer to build a firmwide AI Development Platform and drive AI adoption across the enterprise. You will work on Kubernetes-based workloads, REST services, and large-scale AI tooling.

The role focuses on scalable GenAI solutions, platform engineering, and hands-on development with modern containerized architectures, APIs, and DevOps practices. Bengaluru-based, on-site engagement with cutting-edge AI capabilities.

Qualifications

• Strong hands-on application development background in at least one prominent programming language, preferably Python, Flask or FAST API.
• Broad understanding of data engineering (SQL, NoSQL, Big Data, Kafka, Redis), data governance, data privacy and security.
• Experience in development, management, and deployment of Kubernetes workloads, preferably on OpenShift.
• Experience with designing, developing, and managing RESTful services for large-scale enterprise solutions.
• Hands-on experience with multiprocessing, multithreading, asynchronous I/O, performance profiling in at least one prominent programming language, preferably Python.
• Practitioner of unit testing, performance testing and BDD/acceptance testing.
• Understanding of OAuth 2.0 protocol for secure authorization.
• Proficiency with Open Telemetry tools including Grafana, Loki, Prometheus, and Cortex.
• Demonstrated experience in DevOps, understanding of CI/CD (Jenkins) and GitOps.
• Understanding of deep learning, understanding of Machine Learning frameworks such as TensorFlow or PyTorch.
• Experience in building cloud and container native applications.
• Knowledge of DevOps and Agile practices.

Responsibilities

• Develop tooling and self-service capabilities for deploying AI solutions for the firm. Collaborate with other developers to enhance the developer experience when building and deploying AI applications.
• Have a platform mindset and build common, reusable solutions to scale Generative AI use cases using pre-trained models as well as fine-tuned models.
• Leverage Kubernetes/OpenShift to develop modern containerized workloads.
• Leverage container registries like JFrog Artifactory, container packaging/configuration management technologies like Helm & Kustomize, and GitOps deployment methods to orchestrate, manage and deploy these workloads.
• Integrate with capabilities such as large-scale vector stores for embeddings.
• Author best practices on the Generative AI ecosystem, when to use which tools, available models such as GPT, Llama, Hugging Face etc. and libraries such as Langchain.
• Analyze, investigate, and implement GenAI solutions focusing on Agentic Orchestration and Agent Builder frameworks.
• Contribute to major design decisions and product selection for building Generative AI solutions. Inclusive of app authentication, service communication, state externalization, container layering strategy and immutability.

Skills

Python

Flask

FAST API

Kubernetes

OpenShift

REST APIs

CI/CD

GitOps

OAuth 2.0

OpenTelemetry

Grafana

Prometheus

TensorFlow/PyTorch

DevOps

Big Data

Education

Bachelor's or Master’s in Computer Science or related field

Tools

OpenShift

Jenkins

Grafana

Loki

Prometheus

Cortex

Job description

This role is for a senior platform engineer who will help build a firmwide AI Development Platform and drive adoption of AI capabilities throughout the enterprise. The ideal candidate will have strong hands-on experience of building software platforms on Kubernetes, API based development, REST framework, data engineering, and large-scale API Gateway environments etc. Knowledge of AIML and hands-on experience implementing solutions using Generative AI are also preferable. The candidate will have a strong passion for using AI to increase productivity as well as help generate new ideas for product & technical improvements.

Primary Responsibilities :

• Develop tooling and self-service capabilities for deploying AI solutions for the firm. Collaborate with other developers to enhance the developer experience when building and deploying AI applications.
• Have a platform mindset and build common, reusable solutions to scale Generative AI use cases using pre-trained models as well as fine-tuned models.
• Leverage Kubernetes/OpenShift to develop modern containerized workloads.
• Leverage container registries like JFrog artifactory, container packaging/configuration management technologies like Helm & Kustomize, and GitOps deployment methods to orchestrate, manage and deploy these workloads.
• Integrate with capabilities such as large-scale vector stores for embeddings.
• Author best practices on the Generative AI ecosystem, when to use which tools, available models such as GPT, Llama, Hugging Face etc. and libraries such as Langchain.
• Analyze, investigate, and implement GenAI solutions focusing on Agentic Orchestration and Agent Builder frameworks.
• Contribute to major design decisions and product selection for building Generative AI solutions. Inclusive of app authentication, service communication, state externalization, container layering strategy and immutability.

Required Skills :

• Strong hands-on Application Development background in at least one prominent programming language, preferably Python Flask or FAST Api.
• Broad understanding of data engineering (SQL, NoSQL, Big Data, Kafka, Redis), data governance, data privacy and security.
• Experience in development, management, and deployment of Kubernetes workloads, preferably on OpenShift.
• Experience with designing, developing, and managing RESTful services for large-scale enterprise solutions.
• Hands-on experience with multiprocessing, multithreading, asynchronous I/O, performance profiling in at least one prominent programming language, preferably python.
• Practitioner of unit testing, performance testing and BDD/acceptance testing.
• Understanding of OAuth 2.0 protocol for secure authorization.
• Proficiency with Open Telemetry tools including Grafana, Loki, Prometheus, and Cortex.
• Demonstrated experience in DevOps, understanding of CI/CD (Jenkins) and GitOps.
• Understanding of deep learning , understanding of Machine Learning frameworks such as TensorFlow or PyTorch.
• Experience in building cloud and container native applications.
• Knowledge of DevOps and Agile practices.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science or related field, or equivalent job experience
• 10+ years of experience in software engineering, design and development