Back End Developer AI Engineer

Introduction

A career in IBM Software means you’ll be part of a team that transforms our customer’s challenges into solutions.Seeking new possibilities and always staying curious, we are a team dedicated to creating the world’s leading AI-powered, cloud-native software solutions for our customers. Our renowned legacy creates endless global opportunities for our IBMers, so the door is always open for those who want to grow their career.We are seeking a skilled back-end developer to join our IBM Software team. As part of our team, you will be responsible for developing and maintaining high-quality software products, working with a variety of technologies and programming languages.IBM’s product and technology landscape includes Research, Software, and Infrastructure. Entering this domain positions you at the heart of IBM, where growth and innovation thrive.

IBM SevOne is a robust Network monitoring tool. As the industry’s most comprehensive and scalable network observability system, it delivers the modern collection, analytics, visualisation and automation capabilities required to transform raw network performance data into actionable, real-time insights.

Your Role And Responsibilities

Design, develop, and implement AI and Generative AI solutions to address business problems and achieve objectives.

Gather, clean, and prepare large datasets to ensure readiness for AI model training.

Train, fine-tune, evaluate, and optimise AI models for specific use cases, ensuring accuracy, performance, cost-effectiveness, and scalability.

Seamlessly integrate AI models and autonomous agent solutions into cloud-based & on-prem products to drive more intelligent workflows and improved productivity.

Develop reusable tools, libraries, and components that standardise and accelerate the development of AI solutions across the organisation.

Monitor and maintain deployed models, ensuring consistent performance and reliability in production environments.

Stay up to date with the latest AI/ML advancements, exploring new technologies, algorithms, and methodologies to enhance product capabilities.

Effectively communicate technical concepts, research findings, and AI solution strategies to both technical and non-technical stakeholders.

Understand the IBM tool and model landscape and work closely with cross-functional teams to leverage these tools, driving innovation and alignment.

Lead and mentor team members to improve performance.

Collaborate with operations, architects, and product teams to resolve issues and define product designs.

Exercise best practices in agile development and software engineering. Code, unit test, debug and perform integration tests of software components.

Participate in software design reviews, code reviews and project planning.

Write and review documentation and technical blog posts.

Contribute to the departments attainment of organisational objectives and high customer satisfaction.

Preferred Education

Bachelors Degree

Required Technical And Professional Expertise

8 to 12 years of strong software development work experience with :

Excellent C++ OR GO Lang programming skills.

Hands-on with MySQL or any other relational Data Base

Experience with Linux / Cent OS / RHEL

Experience With Python Programming Skills.

6+ years of experience using deep learning frameworks (TensorFlow, PyTorch, or Keras)

Solid understanding of ML/AI concepts: EDA, preprocessing, algorithm selection, machine learning frameworks, model efficiency metrics, model monitoring.

Familiarity with Natural Language Processing (NLP) techniques.

Deep understanding of Large Language Models (LLM) Architectures, their capabilities and limitations.

Proven expertise in integrating and working with LLMs to build robust AI solutions.

Skilled in crafting effective prompts to guide LLMs to provide desired outputs.

Hands-on experience with LLM frameworks such as Langchain, Langraph,CrewAI,

Experience in LLM application development based on the Retrieval-Augmented Generation (RAG) concept, familiarity with vector databases, and fine-tuning large language models (LLMs) to enhance performance and accuracy.

Proficient in microservices development using Python (Django/Flask or similar technologies).

Experience in Agile development methodologies

Familiarity with platforms like Kubernetes and experience building on top of the native platforms

Experience with cloud-based data platforms and services (e.g., IBM, AWS, Azure, Google Cloud).

Experience designing, building, and maintaining data processing systems working in containerised environments (Docker, OpenShift, k8s)

Excellent communication skills with the ability to effectively collaborate with technical and non-technical stakeholders

Preferred Technical And Professional Experience

Exposure to MLOPs frameworks and LLMOPs

Understanding of security and ethical best practices for data and model development

Exposure to the use of open-source software.

Exposure and understanding of Cloud systems like AWS, Azure & GCP.

Exposure to Terraform

Enterprise networking background.