Principal Engineer

Role: Custom Software Engineer

Location: PAN India

Qualification: Bachelor’s or Master’s degree in Computer Science, Engineering, or related field

About ARAs Client

ARAs Client is a global leader in technology consulting and digital transformation, helping organizations architect and execute large-scale applications at enterprise scale. With deep expertise across cloud solutions, business consulting, and engineering, ARAs Client helps Fortune-level companies modernize applications, optimize processes, and unlock data-driven value across industries.

Project Role Description : Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs.

Must have skills : Python (Programming Language)

Minimum 7.5 year(s) of experience is required

Educational Qualification : 15 years full time education

Job Summary:

We are looking for a highly skilled Principal Engineer to lead the design and implementation of advanced AI and deep learning solutions. This role requires deep expertise in Large Language Models (LLMs), cloud-based AI deployment on Azure, and full-stack software development using .NET and Python. You will drive the technical strategy, mentor engineering teams, and collaborate with product and data science teams to build scalable, high-performance AI systems that solve complex business challenges.

Roles and responsibilities:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.

• 8+ years of professional software engineering experience with at least 5 years focused on AI/ML development.

• Strong experience working with Large Language Models (e.g., GPT, BERT) and deep learning frameworks (TensorFlow, PyTorch).

• Proficiency in Python and .NET (C#) for developing scalable AI solutions.

• Hands-on experience with Microsoft Azure AI services (Azure ML, Cognitive Services, AKS).

• Expertise in cloud-native architectures, microservices, and container orchestration.

• Proven track record of leading engineering teams and driving architecture decisions.

• Strong problem-solving skills and ability to deliver results in ambiguous, fast-paced environments.

• Excellent verbal and written communication skills.

Professional attributes:

• Experience with NLP libraries like Hugging Face Transformers, spaCy.

• Familiarity with MLOps practices and tooling (model training pipelines, monitoring, versioning).

• Knowledge of distributed systems and data engineering concepts.

• Experience implementing CI/CD pipelines and DevOps automation.

Contributions to AI-related open-source projects or publications.

• PhD or advanced research background in AI/ML or related fields

Proven experience in cloud, DevOps, or AI modernization initiatives.

• Strong understanding of LLMs, automation, and engineering toolchains.

• Ability to translate AI innovation into business and productivity impact.