Principal Engineer

Role: Custom Software Engineer

Location: PAN India

Qualification: Bachelors or Masters 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:

Bachelors or Masters 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.