Senior Principal Engineer - Artificial Intelligence

Total Exp: 8-15yrs

Location: Bangalore/Pune/Hyderabad/NCR

Notice: Immediate to 30 days max

If interested,please apply here or send cv at hiring@growtharc.com with your location, exp , notice and CTC details.

Role Overview

We are looking for aLead AI Engineer / AI Architectto design, build, and scale production-grade AI systems.

This role combineshands-on AI engineering with system architecture leadership. The candidate willbe responsible fordesigning scalable AI platforms, mentoring engineers, and ensuring that machine learning models are successfully deployed into real-world applications.

The ideal candidate has strongexpertiseinmachine learning, backend engineering, distributed systems, and modern LLM ecosystems, along with experience designing scalable AI architectures.

Key Responsibilities

AI System Architecture

• Design scalable architectures for AI-powered products and services
• Architect end-to-end ML systems including training, deployment, and monitoring
• Define architectural standards for AI services, APIs, and data pipelines
• Design distributed AI systems that support large-scale inference and data processing

AI Engineering & Development

• Build and deploy production AI/ML systems
• Develop APIs and services exposing AI capabilities
• Implement LLM-powered systems including:
• RAG pipelines
• Semantic search
• Conversational AI systems
• Optimizemodel performance, latency, and scalability

AI Platform & Infrastructure

• Design andmaintainML infrastructure for training and deployment
• Build scalable inference systems for ML and LLM models
• Implement CI/CD pipelines for ML systems
• Deploy services using containerized infrastructure

Technical Leadership

• Lead AI engineering teams and mentor junior engineers
• Conduct architecture and code reviews
• Define engineering standards for AI development
• Guide teams in implementing scalable AI solutions

Cross-Team Collaboration

• Work closely with product and engineering leadership
• Translate business problems into scalable AI solutions
• Coordinate with data engineering, backend, and platform teams

Required Skills

Programming & Software Engineering

• Expert-level Python
• Strong experience writing production-grade systems
• Experience designing scalable backend services

Machine Learning & AI

Strong experience with:

• Supervised and unsupervised learning
• Model evaluation and optimization
• Feature engineering
• Model deployment pipelines

Experience with:

• PyTorch/ TensorFlow
• Scikit-learn

LLM & Modern AI Stack

Experience with:

• LLM APIs (OpenAI, Claude, etc.)
• RAG architectures
• LangChain/LlamaIndex
• Embedding models and semantic search
• Prompt engineering and LLM orchestration

Databases

Experience working with:

• PostgreSQL
• MongoDB
• Vector databases (Pinecone,Weaviate, FAISS, Chroma)

Infrastructure & Deployment

• Docker
• Kubernetes (preferred)
• Cloud platforms (AWS / GCP / Azure)
• CI/CD pipelines

System Architecture

Experience designing:

• Distributed AI systems
• Microservices architectures
• Data pipelines and ML workflows
• High-performance inference systems

Ideal Candidate Profile

• 815years experiencein AI / ML / Backend engineering
• Experience designing AI system architectures
• Experience leading AI engineering teams
• Strong problem-solving and system design skills
• Experience building production AI products at scale

What We Are NOT Looking For

• Profiles focused only on research or academic ML
• Candidates who primarily worked in notebooks without production deployment experience
• Engineers without strong software engineering fundamentals