Principal Engineer Architect

Principal Engineer /Python full stack - Architect Role

Location : (Remote)

Preferred location : Chennai /Bangalore

Experience:10+Years

Notice : Short joiners only

Note: Kindly apply only Architect experience candidates.

Job Description

We're looking for a Principal Engineer to serve as a technical anchor for our AI-first engineering organization. In this role, you'll drive the architecture and technical direction of our most complex systems, define engineering standards across the team, and ensure our AI-powered products are built to scale. You'll work closely with the Tech Lead and senior stakeholders to translate business goals into robust, forward-thinking technical solutions while also being deeply hands-on when it matters.

Key Responsibilities

Full Stack Development (Primary)

• Lead the technical design of large-scale, cross-cutting full-stack initiatives.
• Define and enforce engineering standards, patterns, and best practices across teams.
• Implement full-stack features using React.js, Next.js, and TypeScript on the frontend, with Python (FastAPI) and/or Node.js backends.
• Architect and oversee microservices, APIs, and service integration strategies.
• Own and evolve Cloud(AWS/Azure/GCP)-based infrastructure for web and backend workloads, using Terraform for infrastructure as code.
• Lead containerization and orchestration strategy using Docker and Kubernetes.
• Drive system reliability, security architecture, and cost optimization across services.
• Size and estimate projects across full-stack and AI workstreams; guide planning and prioritization.
• Operate within an Agile delivery model, using Jira for planning and cross-team coordination.
• Mentor senior and mid-level engineers; champion high engineering standards through code and design reviews.

AI Engineering (Secondary) 

• Set the technical direction for GenAI development, including model selection, pipeline architecture, and scalability strategy.
• Define and own best practices for LLM development, evaluation, and production deployment.
• Architect end-to-end LLM pipelines from experimentation to production, including RAG systems and retrieval infrastructure.
• Develop and standardize advanced prompt engineering frameworks across the team.
• Lead rigorous model evaluations and define performance optimization strategies.
• Design and oversee CI/CD pipelines tailored for AI systems.
• Architect and maintain AWS-based infrastructure for AI workloads (SageMaker, etc.).
• Build and evolve monitoring, observability, and evaluation tooling for LLM applications.

Candidate Requirements (Must Have)

• 10+ years of software engineering experience, including meaningful time in senior or lead roles.
• Deep full-stack development expertise using React.js, Next.js, and TypeScript.
• Strong proficiency in Python (FastAPI) and/or Node.js for backend services.
• Strong experience with Terraform and CI/CD pipelines (GitHub Actions or similar).
• Expert-level knowledge of Cloud Services (Eg. AWS Lambda, ECS, S3, etc.), Docker, and Kubernetes.
• Excellent background in system design, API architecture, distributed systems, and microservices.
• Experience driving engineering standards, cross-team alignment, and technical decision-making.
• Strong communication skills able to influence technical direction with peers and leadership.
• Proven track record of building and deploying LLM or GenAI applications
• Deep understanding of prompt engineering, LLM evaluation, and RAG systems.

Preferred

• Experience with fine-tuning, RLHF, or training LLMs.
• Familiarity with LangChain, LlamaIndex, or similar frameworks.
• Background in MLOps, model monitoring, and AI observability.
• Experience with A/B testing and experimentation frameworks.
• Open-source contributions or thought leadership in GenAI or distributed systems.

Dear candidate,

Please fill the below skill experience : (Mandatory)

Skills

Architectural Experience :

Designing Experience :

Estimation Experience:

React JS :

Python :

Django/ Flask / FastAPI :

Node Js :

Cloud Services (AWS or Azure or GCP):

Lambda :

API Gateway :

Storage Services : S3 or Equivalent :

Databasee Services : Postgress/ MSQL :

EC2 :

Container Orchestration:

Docker :

kubernates :

Observability / ELK Stack :

AI Experience

Understanding AI :

Use AI :

Build AI :

Thanks & Regards

Ramesh. A

Digital T3

[email removed]